{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                       open    high     low   close  volume  openinterest\n",
      "2016-08-29 10:50:00  2480.0  2493.0  2478.0  2490.0       1      1.771554\n",
      "2016-08-29 10:55:00  2489.0  2491.0  2480.0  2484.0       1      4.535721\n",
      "                       open    high     low   close  volume  openinterest\n",
      "2019-01-18 14:45:00  3623.0  3630.0  3620.0  3630.0       3      2.566322\n",
      "2019-01-18 14:50:00  3630.0  3635.0  3627.0  3631.0       3      1.631563\n",
      "Starting Portfolio Value: 1000000.00\n",
      "2018-04-02T14:50:00, OPEN ORDER Buy EXECUTED, Price: 3349.000, Size: 50.000, Cost: 167450.000, Comm 83.725, 983171.275\n",
      "2018-04-03T09:05:00, OPEN ORDER Buy EXECUTED, Price: 3363.000, Size: 50.000, Cost: 168150.000, Comm 84.075, 966272.2000000001\n",
      "2018-04-09T11:10:00, CLOSE ORDER EXECUTED, Price: 3350.000, Size: -100.000, Cost: 335600.000, Comm 167.500, 999064.7000000001\n",
      "2018-04-09T11:10:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS -600.00, NET -935.30, , 999064.7000000001\n",
      "2018-04-09T11:25:00, OPEN ORDER Sell EXECUTED, Price: 3341.000, Size: -50.000, Cost: -167050.000, Comm 83.525, 1166031.1750000003\n",
      "2018-04-09T13:35:00, OPEN ORDER Sell EXECUTED, Price: 3384.000, Size: -50.000, Cost: -169200.000, Comm 84.600, 1335146.5750000002\n",
      "2018-04-10T11:15:00, OPEN ORDER Sell EXECUTED, Price: 3423.000, Size: -50.000, Cost: -171150.000, Comm 85.575, 1506211.0000000002\n",
      "2018-04-10T13:35:00, OPEN ORDER Sell EXECUTED, Price: 3430.000, Size: -50.000, Cost: -171500.000, Comm 85.750, 1677625.2500000002\n",
      "2018-04-10T13:55:00, OPEN ORDER Sell EXECUTED, Price: 3434.000, Size: -50.000, Cost: -171700.000, Comm 85.850, 1849239.4000000001\n",
      "2018-04-10T14:10:00, OPEN ORDER Sell EXECUTED, Price: 3422.000, Size: -50.000, Cost: -171100.000, Comm 85.550, 2020253.85\n",
      "2018-04-10T21:10:00, CLOSE ORDER EXECUTED, Price: 3434.000, Size: 300.000, Cost: -1021700.000, Comm 515.100, 989538.7500000001\n",
      "2018-04-10T21:10:00, OPERATION PROFIT, MARTIN_NUM 6, GROSS -8500.00, NET -9525.95, , 989538.7500000001\n",
      "2018-04-12T09:10:00, OPEN ORDER Buy EXECUTED, Price: 3407.000, Size: 50.000, Cost: 170350.000, Comm 85.175, 972418.5750000001\n",
      "2018-04-12T09:35:00, OPEN ORDER Buy EXECUTED, Price: 3394.000, Size: 50.000, Cost: 169700.000, Comm 84.850, 955363.7250000001\n",
      "2018-04-12T09:45:00, OPEN ORDER Buy EXECUTED, Price: 3393.000, Size: 50.000, Cost: 169650.000, Comm 84.825, 938313.9000000001\n",
      "2018-04-12T09:55:00, OPEN ORDER Buy EXECUTED, Price: 3378.000, Size: 50.000, Cost: 168900.000, Comm 84.450, 921339.4500000002\n",
      "2018-04-12T10:05:00, OPEN ORDER Buy EXECUTED, Price: 3382.000, Size: 50.000, Cost: 169100.000, Comm 84.550, 904344.9000000001\n",
      "2018-04-12T21:50:00, CLOSE ORDER EXECUTED, Price: 3393.000, Size: -250.000, Cost: 847700.000, Comm 424.125, 989240.7750000001\n",
      "2018-04-12T21:50:00, OPERATION PROFIT, MARTIN_NUM 5, GROSS 550.00, NET -297.98, , 989240.7750000001\n",
      "2018-04-12T21:55:00, OPEN ORDER Sell EXECUTED, Price: 3389.000, Size: -50.000, Cost: -169450.000, Comm 84.725, 1158606.05\n",
      "2018-04-13T11:10:00, CLOSE ORDER EXECUTED, Price: 3417.000, Size: 50.000, Cost: -169450.000, Comm 85.425, 987670.625\n",
      "2018-04-13T11:10:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -1400.00, NET -1570.15, , 987670.625\n",
      "2018-04-16T13:30:00, OPEN ORDER Sell EXECUTED, Price: 3369.000, Size: -50.000, Cost: -168450.000, Comm 84.225, 1156036.4\n",
      "2018-04-16T14:00:00, CLOSE ORDER EXECUTED, Price: 3383.000, Size: 50.000, Cost: -168450.000, Comm 84.575, 986801.825\n",
      "2018-04-16T14:00:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -700.00, NET -868.80, , 986801.825\n",
      "2018-04-16T14:05:00, OPEN ORDER Buy EXECUTED, Price: 3382.000, Size: 50.000, Cost: 169100.000, Comm 84.550, 969807.2749999999\n",
      "2018-04-16T14:15:00, OPEN ORDER Buy EXECUTED, Price: 3378.000, Size: 50.000, Cost: 168900.000, Comm 84.450, 952832.825\n",
      "2018-04-16T14:40:00, OPEN ORDER Buy EXECUTED, Price: 3373.000, Size: 50.000, Cost: 168650.000, Comm 84.325, 935883.5\n",
      "2018-04-16T14:50:00, OPEN ORDER Buy EXECUTED, Price: 3369.000, Size: 50.000, Cost: 168450.000, Comm 84.225, 918954.275\n",
      "2018-04-16T21:05:00, OPEN ORDER Buy EXECUTED, Price: 3364.000, Size: 50.000, Cost: 168200.000, Comm 84.100, 902050.175\n",
      "2018-04-16T21:15:00, OPEN ORDER Buy EXECUTED, Price: 3353.000, Size: 50.000, Cost: 167650.000, Comm 83.825, 885201.3500000001\n",
      "2018-04-16T21:30:00, OPEN ORDER Buy EXECUTED, Price: 3359.000, Size: 50.000, Cost: 167950.000, Comm 83.975, 868322.3750000001\n",
      "2018-04-17T10:30:00, STOP/LIMIT ORDER EXECUTED, Price: 3408.000, Size: -350.000, Cost: 1178900.000, Comm 596.400, 999515.9750000001\n",
      "2018-04-17T10:30:00, OPERATION PROFIT, MARTIN_NUM 7, GROSS 13900.00, NET 12714.15, , 999515.9750000001\n",
      "2018-04-17T21:55:00, OPEN ORDER Sell EXECUTED, Price: 3435.000, Size: -50.000, Cost: -171750.000, Comm 85.875, 1171180.1\n",
      "2018-04-18T10:00:00, CLOSE ORDER EXECUTED, Price: 3472.000, Size: 50.000, Cost: -171750.000, Comm 86.800, 997493.3\n",
      "2018-04-18T10:00:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -1850.00, NET -2022.67, , 997493.3\n",
      "2018-04-23T13:55:00, OPEN ORDER Buy EXECUTED, Price: 3540.000, Size: 50.000, Cost: 177000.000, Comm 88.500, 979704.8\n",
      "2018-04-24T21:05:00, STOP/LIMIT ORDER EXECUTED, Price: 3590.000, Size: -50.000, Cost: 177000.000, Comm 89.750, 999815.05\n",
      "2018-04-24T21:05:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2500.00, NET 2321.75, , 999815.05\n",
      "2018-04-25T21:40:00, OPEN ORDER Buy EXECUTED, Price: 3575.000, Size: 50.000, Cost: 178750.000, Comm 89.375, 981850.675\n",
      "2018-04-26T10:45:00, OPEN ORDER Buy EXECUTED, Price: 3570.000, Size: 50.000, Cost: 178500.000, Comm 89.250, 963911.425\n",
      "2018-04-26T10:55:00, OPEN ORDER Buy EXECUTED, Price: 3559.000, Size: 50.000, Cost: 177950.000, Comm 88.975, 946027.4500000001\n",
      "2018-04-26T14:40:00, CLOSE ORDER EXECUTED, Price: 3546.000, Size: -150.000, Cost: 535200.000, Comm 265.950, 995981.5000000002\n",
      "2018-04-26T14:40:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS -3300.00, NET -3833.55, , 995981.5000000002\n",
      "2018-04-26T14:45:00, OPEN ORDER Sell EXECUTED, Price: 3544.000, Size: -50.000, Cost: -177200.000, Comm 88.600, 1173092.9000000001\n",
      "2018-04-26T21:10:00, CLOSE ORDER EXECUTED, Price: 3561.000, Size: 50.000, Cost: -177200.000, Comm 89.025, 994953.8750000001\n",
      "2018-04-26T21:10:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -850.00, NET -1027.62, , 994953.8750000001\n",
      "2018-04-26T21:15:00, OPEN ORDER Buy EXECUTED, Price: 3562.000, Size: 50.000, Cost: 178100.000, Comm 89.050, 977054.8250000001\n",
      "2018-05-02T09:00:00, STOP/LIMIT ORDER EXECUTED, Price: 3642.000, Size: -50.000, Cost: 178100.000, Comm 91.050, 998773.775\n",
      "2018-05-02T09:00:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 4000.00, NET 3819.90, , 998773.775\n",
      "2018-05-03T11:05:00, OPEN ORDER Sell EXECUTED, Price: 3688.000, Size: -50.000, Cost: -184400.000, Comm 92.200, 1183081.575\n",
      "2018-05-03T14:30:00, CLOSE ORDER EXECUTED, Price: 3663.000, Size: 50.000, Cost: -184400.000, Comm 91.575, 999840.0\n",
      "2018-05-03T14:30:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 1250.00, NET 1066.22, , 999840.0\n",
      "2018-05-03T14:35:00, OPEN ORDER Buy EXECUTED, Price: 3661.000, Size: 50.000, Cost: 183050.000, Comm 91.525, 981443.475\n",
      "2018-05-03T14:50:00, OPEN ORDER Buy EXECUTED, Price: 3665.000, Size: 50.000, Cost: 183250.000, Comm 91.625, 963026.85\n",
      "2018-05-03T21:55:00, OPEN ORDER Buy EXECUTED, Price: 3655.000, Size: 50.000, Cost: 182750.000, Comm 91.375, 944660.475\n",
      "2018-05-07T09:00:00, OPEN ORDER Buy EXECUTED, Price: 3650.000, Size: 50.000, Cost: 182500.000, Comm 91.250, 926319.225\n",
      "2018-05-07T09:20:00, OPEN ORDER Buy EXECUTED, Price: 3620.000, Size: 50.000, Cost: 181000.000, Comm 90.500, 908128.725\n",
      "2018-05-07T09:50:00, OPEN ORDER Buy EXECUTED, Price: 3626.000, Size: 50.000, Cost: 181300.000, Comm 90.650, 889908.075\n",
      "2018-05-07T10:40:00, STOP/LIMIT ORDER EXECUTED, Price: 3675.000, Size: -300.000, Cost: 1093850.000, Comm 551.250, 1007391.825\n",
      "2018-05-07T10:40:00, OPERATION PROFIT, MARTIN_NUM 6, GROSS 8650.00, NET 7551.83, , 1007391.825\n",
      "2018-05-08T09:55:00, OPEN ORDER Sell EXECUTED, Price: 3654.000, Size: -50.000, Cost: -182700.000, Comm 91.350, 1190000.4749999999\n",
      "2018-05-08T10:05:00, OPEN ORDER Sell EXECUTED, Price: 3653.000, Size: -50.000, Cost: -182650.000, Comm 91.325, 1372559.15\n",
      "2018-05-08T10:30:00, OPEN ORDER Sell EXECUTED, Price: 3652.000, Size: -50.000, Cost: -182600.000, Comm 91.300, 1555067.8499999999\n",
      "2018-05-08T13:35:00, OPEN ORDER Sell EXECUTED, Price: 3653.000, Size: -50.000, Cost: -182650.000, Comm 91.325, 1737626.525\n",
      "2018-05-08T13:45:00, OPEN ORDER Sell EXECUTED, Price: 3645.000, Size: -50.000, Cost: -182250.000, Comm 91.125, 1919785.4\n",
      "2018-05-08T13:50:00, CLOSE ORDER EXECUTED, Price: 3649.000, Size: 250.000, Cost: -912850.000, Comm 456.125, 1007079.2749999999\n",
      "2018-05-08T13:50:00, OPERATION PROFIT, MARTIN_NUM 5, GROSS 600.00, NET -312.55, , 1007079.2749999999\n",
      "2018-05-08T14:00:00, OPEN ORDER Sell EXECUTED, Price: 3649.000, Size: -50.000, Cost: -182450.000, Comm 91.225, 1189438.0499999998\n",
      "2018-05-08T14:05:00, CLOSE ORDER EXECUTED, Price: 3645.000, Size: 50.000, Cost: -182450.000, Comm 91.125, 1007096.9249999998\n",
      "2018-05-08T14:05:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 200.00, NET 17.65, , 1007096.9249999998\n",
      "2018-05-09T13:45:00, OPEN ORDER Buy EXECUTED, Price: 3590.000, Size: 50.000, Cost: 179500.000, Comm 89.750, 989057.1749999998\n",
      "2018-05-09T14:45:00, OPEN ORDER Buy EXECUTED, Price: 3566.000, Size: 50.000, Cost: 178300.000, Comm 89.150, 971138.0249999998\n",
      "2018-05-09T21:30:00, CLOSE ORDER EXECUTED, Price: 3584.000, Size: -100.000, Cost: 357800.000, Comm 179.200, 1007338.8249999998\n",
      "2018-05-09T21:30:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 600.00, NET 241.90, , 1007338.8249999998\n",
      "2018-05-09T22:20:00, OPEN ORDER Buy EXECUTED, Price: 3588.000, Size: 50.000, Cost: 179400.000, Comm 89.700, 989309.1249999999\n",
      "2018-05-10T21:00:00, STOP/LIMIT ORDER EXECUTED, Price: 3638.000, Size: -50.000, Cost: 179400.000, Comm 90.950, 1009658.1749999999\n",
      "2018-05-10T21:00:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2500.00, NET 2319.35, , 1009658.1749999999\n",
      "2018-05-10T21:20:00, OPEN ORDER Buy EXECUTED, Price: 3632.000, Size: 50.000, Cost: 181600.000, Comm 90.800, 991407.3749999999\n",
      "2018-05-10T21:30:00, OPEN ORDER Buy EXECUTED, Price: 3630.000, Size: 50.000, Cost: 181500.000, Comm 90.750, 973166.6249999999\n",
      "2018-05-11T14:15:00, STOP/LIMIT ORDER EXECUTED, Price: 3680.000, Size: -100.000, Cost: 363100.000, Comm 184.000, 1014192.6249999999\n",
      "2018-05-11T14:15:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 4900.00, NET 4534.45, , 1014192.6249999999\n",
      "2018-05-15T09:35:00, OPEN ORDER Buy EXECUTED, Price: 3676.000, Size: 50.000, Cost: 183800.000, Comm 91.900, 995720.7249999999\n",
      "2018-05-15T10:00:00, OPEN ORDER Buy EXECUTED, Price: 3663.000, Size: 50.000, Cost: 183150.000, Comm 91.575, 977314.1499999999\n",
      "2018-05-15T14:10:00, OPEN ORDER Buy EXECUTED, Price: 3666.000, Size: 50.000, Cost: 183300.000, Comm 91.650, 958892.4999999999\n",
      "2018-05-15T14:30:00, OPEN ORDER Buy EXECUTED, Price: 3672.000, Size: 50.000, Cost: 183600.000, Comm 91.800, 940440.6999999998\n",
      "2018-05-15T21:55:00, OPEN ORDER Buy EXECUTED, Price: 3677.000, Size: 50.000, Cost: 183850.000, Comm 91.925, 921963.7749999998\n",
      "2018-05-16T09:10:00, OPEN ORDER Buy EXECUTED, Price: 3680.000, Size: 50.000, Cost: 184000.000, Comm 92.000, 903471.7749999998\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-05-16T21:15:00, CLOSE ORDER EXECUTED, Price: 3661.000, Size: -300.000, Cost: 1101700.000, Comm 549.150, 1009692.6249999998\n",
      "2018-05-16T21:15:00, OPERATION PROFIT, MARTIN_NUM 6, GROSS -3400.00, NET -4500.00, , 1009692.6249999998\n",
      "2018-05-16T21:20:00, OPEN ORDER Sell EXECUTED, Price: 3666.000, Size: -50.000, Cost: -183300.000, Comm 91.650, 1192900.9749999999\n",
      "2018-05-16T21:30:00, OPEN ORDER Sell EXECUTED, Price: 3665.000, Size: -50.000, Cost: -183250.000, Comm 91.625, 1376059.3499999999\n",
      "2018-05-17T11:20:00, CLOSE ORDER EXECUTED, Price: 3676.000, Size: 100.000, Cost: -366550.000, Comm 183.800, 1008275.5499999998\n",
      "2018-05-17T11:20:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS -1050.00, NET -1417.08, , 1008275.5499999998\n",
      "2018-05-17T21:35:00, OPEN ORDER Sell EXECUTED, Price: 3686.000, Size: -50.000, Cost: -184300.000, Comm 92.150, 1192483.4\n",
      "2018-05-17T22:55:00, CLOSE ORDER EXECUTED, Price: 3656.000, Size: 50.000, Cost: -184300.000, Comm 91.400, 1009591.9999999999\n",
      "2018-05-17T22:55:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 1500.00, NET 1316.45, , 1009591.9999999999\n",
      "2018-05-18T10:05:00, OPEN ORDER Sell EXECUTED, Price: 3638.000, Size: -50.000, Cost: -181900.000, Comm 90.950, 1191401.05\n",
      "2018-05-18T10:30:00, OPEN ORDER Sell EXECUTED, Price: 3636.000, Size: -50.000, Cost: -181800.000, Comm 90.900, 1373110.1500000001\n",
      "2018-05-18T21:50:00, OPEN ORDER Sell EXECUTED, Price: 3615.000, Size: -50.000, Cost: -180750.000, Comm 90.375, 1553769.7750000001\n",
      "2018-05-18T22:00:00, OPEN ORDER Sell EXECUTED, Price: 3615.000, Size: -50.000, Cost: -180750.000, Comm 90.375, 1734429.4000000001\n",
      "2018-05-18T22:35:00, CLOSE ORDER EXECUTED, Price: 3616.000, Size: 200.000, Cost: -725200.000, Comm 361.600, 1010867.8000000002\n",
      "2018-05-18T22:35:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS 2000.00, NET 1275.80, , 1010867.8000000002\n",
      "2018-05-18T22:40:00, OPEN ORDER Buy EXECUTED, Price: 3612.000, Size: 50.000, Cost: 180600.000, Comm 90.300, 992717.5000000001\n",
      "2018-05-21T13:50:00, CLOSE ORDER EXECUTED, Price: 3596.000, Size: -50.000, Cost: 180600.000, Comm 89.900, 1009887.6000000001\n",
      "2018-05-21T13:50:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -800.00, NET -980.20, , 1009887.6000000001\n",
      "2018-05-21T13:55:00, OPEN ORDER Sell EXECUTED, Price: 3593.000, Size: -50.000, Cost: -179650.000, Comm 89.825, 1189447.7750000001\n",
      "2018-05-21T14:05:00, OPEN ORDER Sell EXECUTED, Price: 3598.000, Size: -50.000, Cost: -179900.000, Comm 89.950, 1369257.8250000002\n",
      "2018-05-21T14:15:00, OPEN ORDER Sell EXECUTED, Price: 3594.000, Size: -50.000, Cost: -179700.000, Comm 89.850, 1548867.975\n",
      "2018-05-21T14:40:00, OPEN ORDER Sell EXECUTED, Price: 3590.000, Size: -50.000, Cost: -179500.000, Comm 89.750, 1728278.225\n",
      "2018-05-21T14:50:00, OPEN ORDER Sell EXECUTED, Price: 3586.000, Size: -50.000, Cost: -179300.000, Comm 89.650, 1907488.5750000002\n",
      "2018-05-21T21:00:00, OPEN ORDER Sell EXECUTED, Price: 3586.000, Size: -50.000, Cost: -179300.000, Comm 89.650, 2086698.9250000003\n",
      "2018-05-22T22:15:00, OPEN ORDER Sell EXECUTED, Price: 3565.000, Size: -50.000, Cost: -178250.000, Comm 89.125, 2264859.8000000003\n",
      "2018-05-22T22:30:00, OPEN ORDER Sell EXECUTED, Price: 3567.000, Size: -50.000, Cost: -178350.000, Comm 89.175, 2443120.6250000005\n",
      "2018-05-23T09:45:00, STOP/LIMIT ORDER EXECUTED, Price: 3517.000, Size: 400.000, Cost: -1433950.000, Comm 703.400, 1035617.2250000004\n",
      "2018-05-23T09:45:00, OPERATION PROFIT, MARTIN_NUM 8, GROSS 27150.00, NET 25729.62, , 1035617.2250000004\n",
      "2018-05-24T11:05:00, OPEN ORDER Buy EXECUTED, Price: 3530.000, Size: 50.000, Cost: 176500.000, Comm 88.250, 1017878.9750000004\n",
      "2018-05-24T11:15:00, OPEN ORDER Buy EXECUTED, Price: 3527.000, Size: 50.000, Cost: 176350.000, Comm 88.175, 1000155.8000000004\n",
      "2018-05-24T14:10:00, STOP/LIMIT ORDER EXECUTED, Price: 3576.000, Size: -100.000, Cost: 352850.000, Comm 178.800, 1040012.0000000003\n",
      "2018-05-24T14:10:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 4750.00, NET 4394.77, , 1040012.0000000003\n",
      "2018-05-29T09:55:00, OPEN ORDER Buy EXECUTED, Price: 3593.000, Size: 50.000, Cost: 179650.000, Comm 89.825, 1021957.1750000004\n",
      "2018-05-29T10:35:00, OPEN ORDER Buy EXECUTED, Price: 3628.000, Size: 50.000, Cost: 181400.000, Comm 90.700, 1003726.4750000004\n",
      "2018-05-29T10:50:00, OPEN ORDER Buy EXECUTED, Price: 3614.000, Size: 50.000, Cost: 180700.000, Comm 90.350, 985566.1250000005\n",
      "2018-05-29T21:05:00, OPEN ORDER Buy EXECUTED, Price: 3646.000, Size: 50.000, Cost: 182300.000, Comm 91.150, 967244.9750000004\n",
      "2018-05-31T14:00:00, STOP/LIMIT ORDER EXECUTED, Price: 3696.000, Size: -200.000, Cost: 724050.000, Comm 369.600, 1054430.3750000005\n",
      "2018-05-31T14:00:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS 15150.00, NET 14418.38, , 1054430.3750000005\n",
      "2018-05-31T21:40:00, OPEN ORDER Buy EXECUTED, Price: 3729.000, Size: 50.000, Cost: 186450.000, Comm 93.225, 1035692.1500000005\n",
      "2018-05-31T22:25:00, OPEN ORDER Buy EXECUTED, Price: 3732.000, Size: 50.000, Cost: 186600.000, Comm 93.300, 1016938.8500000004\n",
      "2018-05-31T22:35:00, OPEN ORDER Buy EXECUTED, Price: 3731.000, Size: 50.000, Cost: 186550.000, Comm 93.275, 998190.5750000004\n",
      "2018-05-31T22:45:00, OPEN ORDER Buy EXECUTED, Price: 3737.000, Size: 50.000, Cost: 186850.000, Comm 93.425, 979412.1500000004\n",
      "2018-05-31T22:55:00, OPEN ORDER Buy EXECUTED, Price: 3750.000, Size: 50.000, Cost: 187500.000, Comm 93.750, 960568.4000000004\n",
      "2018-06-01T09:05:00, OPEN ORDER Buy EXECUTED, Price: 3750.000, Size: 50.000, Cost: 187500.000, Comm 93.750, 941724.6500000004\n",
      "2018-06-01T09:20:00, OPEN ORDER Buy EXECUTED, Price: 3746.000, Size: 50.000, Cost: 187300.000, Comm 93.650, 922901.0000000003\n",
      "2018-06-05T10:10:00, OPEN ORDER Buy EXECUTED, Price: 3694.000, Size: 50.000, Cost: 184700.000, Comm 92.350, 904338.6500000004\n",
      "2018-06-05T10:50:00, OPEN ORDER Buy EXECUTED, Price: 3697.000, Size: 50.000, Cost: 184850.000, Comm 92.425, 885761.2250000003\n",
      "2018-06-05T14:05:00, OPEN ORDER Buy EXECUTED, Price: 3707.000, Size: 50.000, Cost: 185350.000, Comm 92.675, 867133.5500000003\n",
      "2018-06-05T14:15:00, OPEN ORDER Buy EXECUTED, Price: 3711.000, Size: 50.000, Cost: 185550.000, Comm 92.775, 848485.7750000003\n",
      "2018-06-06T09:00:00, STOP/LIMIT ORDER EXECUTED, Price: 3760.000, Size: -550.000, Cost: 2049200.000, Comm 1034.000, 1071171.7750000001\n",
      "2018-06-06T09:00:00, OPERATION PROFIT, MARTIN_NUM 11, GROSS 18800.00, NET 16741.40, , 1071171.7750000001\n",
      "2018-06-06T09:15:00, OPEN ORDER Sell EXECUTED, Price: 3759.000, Size: -50.000, Cost: -187950.000, Comm 93.975, 1259027.8\n",
      "2018-06-06T09:25:00, OPEN ORDER Sell EXECUTED, Price: 3745.000, Size: -50.000, Cost: -187250.000, Comm 93.625, 1446184.175\n",
      "2018-06-08T09:15:00, CLOSE ORDER EXECUTED, Price: 3788.000, Size: 100.000, Cost: -375200.000, Comm 189.400, 1067194.7750000001\n",
      "2018-06-08T09:15:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS -3600.00, NET -3977.00, , 1067194.7750000001\n",
      "2018-06-11T10:30:00, OPEN ORDER Buy EXECUTED, Price: 3778.000, Size: 50.000, Cost: 188900.000, Comm 94.450, 1048210.3250000002\n",
      "2018-06-11T21:00:00, STOP/LIMIT ORDER EXECUTED, Price: 3828.000, Size: -50.000, Cost: 188900.000, Comm 95.700, 1069504.6250000002\n",
      "2018-06-11T21:00:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2500.00, NET 2309.85, , 1069504.6250000002\n",
      "2018-06-12T10:50:00, OPEN ORDER Sell EXECUTED, Price: 3798.000, Size: -50.000, Cost: -189900.000, Comm 94.950, 1259309.6750000003\n",
      "2018-06-12T11:00:00, OPEN ORDER Sell EXECUTED, Price: 3804.000, Size: -50.000, Cost: -190200.000, Comm 95.100, 1449414.5750000002\n",
      "2018-06-12T11:10:00, OPEN ORDER Sell EXECUTED, Price: 3799.000, Size: -50.000, Cost: -189950.000, Comm 94.975, 1639269.6\n",
      "2018-06-12T11:20:00, OPEN ORDER Sell EXECUTED, Price: 3804.000, Size: -50.000, Cost: -190200.000, Comm 95.100, 1829374.5\n",
      "2018-06-12T14:35:00, OPEN ORDER Sell EXECUTED, Price: 3842.000, Size: -50.000, Cost: -192100.000, Comm 96.050, 2021378.45\n",
      "2018-06-12T14:45:00, OPEN ORDER Sell EXECUTED, Price: 3855.000, Size: -50.000, Cost: -192750.000, Comm 96.375, 2214032.075\n",
      "2018-06-13T09:00:00, CLOSE ORDER EXECUTED, Price: 3852.000, Size: 300.000, Cost: -1145100.000, Comm 577.800, 1057854.2749999997\n",
      "2018-06-13T09:00:00, OPERATION PROFIT, MARTIN_NUM 6, GROSS -10500.00, NET -11650.35, , 1057854.2749999997\n",
      "2018-06-13T09:35:00, OPEN ORDER Buy EXECUTED, Price: 3838.000, Size: 50.000, Cost: 191900.000, Comm 95.950, 1038568.3249999997\n",
      "2018-06-13T09:45:00, OPEN ORDER Buy EXECUTED, Price: 3846.000, Size: 50.000, Cost: 192300.000, Comm 96.150, 1019242.1749999997\n",
      "2018-06-13T10:30:00, OPEN ORDER Buy EXECUTED, Price: 3871.000, Size: 50.000, Cost: 193550.000, Comm 96.775, 999790.3999999997\n",
      "2018-06-13T14:10:00, CLOSE ORDER EXECUTED, Price: 3868.000, Size: -150.000, Cost: 577750.000, Comm 290.100, 1059725.2999999996\n",
      "2018-06-13T14:10:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS 2450.00, NET 1871.03, , 1059725.2999999996\n",
      "2018-06-13T14:15:00, OPEN ORDER Sell EXECUTED, Price: 3869.000, Size: -50.000, Cost: -193450.000, Comm 96.725, 1253078.5749999995\n",
      "2018-06-13T14:25:00, OPEN ORDER Sell EXECUTED, Price: 3876.000, Size: -50.000, Cost: -193800.000, Comm 96.900, 1446781.6749999996\n",
      "2018-06-13T22:10:00, CLOSE ORDER EXECUTED, Price: 3872.000, Size: 100.000, Cost: -387250.000, Comm 193.600, 1059388.0749999995\n",
      "2018-06-13T22:10:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 50.00, NET -337.22, , 1059388.0749999995\n",
      "2018-06-14T09:30:00, OPEN ORDER Buy EXECUTED, Price: 3876.000, Size: 50.000, Cost: 193800.000, Comm 96.900, 1039911.1749999995\n",
      "2018-06-14T14:50:00, CLOSE ORDER EXECUTED, Price: 3901.000, Size: -50.000, Cost: 193800.000, Comm 97.525, 1060443.6499999997\n",
      "2018-06-14T14:50:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 1250.00, NET 1055.58, , 1060443.6499999997\n",
      "2018-06-14T14:55:00, OPEN ORDER Sell EXECUTED, Price: 3898.000, Size: -50.000, Cost: -194900.000, Comm 97.450, 1255246.1999999997\n",
      "2018-06-15T11:05:00, CLOSE ORDER EXECUTED, Price: 3881.000, Size: 50.000, Cost: -194900.000, Comm 97.025, 1061099.1749999998\n",
      "2018-06-15T11:05:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 850.00, NET 655.52, , 1061099.1749999998\n",
      "2018-06-15T11:10:00, OPEN ORDER Buy EXECUTED, Price: 3878.000, Size: 50.000, Cost: 193900.000, Comm 96.950, 1041612.2249999999\n",
      "2018-06-19T22:20:00, CLOSE ORDER EXECUTED, Price: 3771.000, Size: -50.000, Cost: 193900.000, Comm 94.275, 1055557.95\n",
      "2018-06-19T22:20:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -5350.00, NET -5541.23, , 1055557.95\n",
      "2018-06-19T22:25:00, OPEN ORDER Sell EXECUTED, Price: 3775.000, Size: -50.000, Cost: -188750.000, Comm 94.375, 1244213.575\n",
      "2018-06-20T11:20:00, CLOSE ORDER EXECUTED, Price: 3782.000, Size: 50.000, Cost: -188750.000, Comm 94.550, 1055019.025\n",
      "2018-06-20T11:20:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -350.00, NET -538.93, , 1055019.025\n",
      "2018-06-20T14:45:00, OPEN ORDER Sell EXECUTED, Price: 3822.000, Size: -50.000, Cost: -191100.000, Comm 95.550, 1246023.4749999999\n",
      "2018-06-21T14:50:00, STOP/LIMIT ORDER EXECUTED, Price: 3772.000, Size: 50.000, Cost: -191100.000, Comm 94.300, 1057329.1749999998\n",
      "2018-06-21T14:50:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2500.00, NET 2310.15, , 1057329.1749999998\n",
      "2018-06-22T14:05:00, OPEN ORDER Buy EXECUTED, Price: 3757.000, Size: 50.000, Cost: 187850.000, Comm 93.925, 1038450.2499999998\n",
      "2018-06-22T14:30:00, OPEN ORDER Buy EXECUTED, Price: 3765.000, Size: 50.000, Cost: 188250.000, Comm 94.125, 1019531.1249999998\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-06-22T14:50:00, OPEN ORDER Buy EXECUTED, Price: 3759.000, Size: 50.000, Cost: 187950.000, Comm 93.975, 1000642.1499999998\n",
      "2018-06-22T22:35:00, CLOSE ORDER EXECUTED, Price: 3771.000, Size: -150.000, Cost: 564050.000, Comm 282.825, 1058364.325\n",
      "2018-06-22T22:35:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS 1600.00, NET 1035.15, , 1058364.325\n",
      "2018-06-22T22:40:00, OPEN ORDER Sell EXECUTED, Price: 3771.000, Size: -50.000, Cost: -188550.000, Comm 94.275, 1246820.05\n",
      "2018-06-22T22:50:00, OPEN ORDER Sell EXECUTED, Price: 3778.000, Size: -50.000, Cost: -188900.000, Comm 94.450, 1435625.6\n",
      "2018-06-25T09:05:00, STOP/LIMIT ORDER EXECUTED, Price: 3728.000, Size: 100.000, Cost: -377450.000, Comm 186.400, 1062639.2000000002\n",
      "2018-06-25T09:05:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 4650.00, NET 4274.88, , 1062639.2000000002\n",
      "2018-06-25T14:25:00, OPEN ORDER Buy EXECUTED, Price: 3733.000, Size: 50.000, Cost: 186650.000, Comm 93.325, 1043880.8750000002\n",
      "2018-06-25T14:35:00, OPEN ORDER Buy EXECUTED, Price: 3730.000, Size: 50.000, Cost: 186500.000, Comm 93.250, 1025137.6250000002\n",
      "2018-06-26T11:00:00, CLOSE ORDER EXECUTED, Price: 3678.000, Size: -100.000, Cost: 373150.000, Comm 183.900, 1056918.7250000003\n",
      "2018-06-26T11:00:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS -5350.00, NET -5720.48, , 1056918.7250000003\n",
      "2018-06-26T14:05:00, OPEN ORDER Sell EXECUTED, Price: 3682.000, Size: -50.000, Cost: -184100.000, Comm 92.050, 1240926.6750000003\n",
      "2018-06-27T10:10:00, CLOSE ORDER EXECUTED, Price: 3686.000, Size: 50.000, Cost: -184100.000, Comm 92.150, 1056534.5250000004\n",
      "2018-06-27T10:10:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -200.00, NET -384.20, , 1056534.5250000004\n",
      "2018-06-27T10:30:00, OPEN ORDER Buy EXECUTED, Price: 3689.000, Size: 50.000, Cost: 184450.000, Comm 92.225, 1037997.3000000004\n",
      "2018-06-27T10:40:00, OPEN ORDER Buy EXECUTED, Price: 3685.000, Size: 50.000, Cost: 184250.000, Comm 92.125, 1019480.1750000004\n",
      "2018-06-27T10:55:00, OPEN ORDER Buy EXECUTED, Price: 3694.000, Size: 50.000, Cost: 184700.000, Comm 92.350, 1000917.8250000004\n",
      "2018-06-27T11:10:00, OPEN ORDER Buy EXECUTED, Price: 3697.000, Size: 50.000, Cost: 184850.000, Comm 92.425, 982340.4000000004\n",
      "2018-06-27T21:40:00, STOP/LIMIT ORDER EXECUTED, Price: 3746.000, Size: -200.000, Cost: 738250.000, Comm 374.600, 1066740.8000000003\n",
      "2018-06-27T21:40:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS 10950.00, NET 10206.27, , 1066740.8000000003\n",
      "2018-06-27T22:30:00, OPEN ORDER Buy EXECUTED, Price: 3758.000, Size: 50.000, Cost: 187900.000, Comm 93.950, 1047856.8500000003\n",
      "2018-06-28T22:45:00, OPEN ORDER Buy EXECUTED, Price: 3762.000, Size: 50.000, Cost: 188100.000, Comm 94.050, 1028952.8000000003\n",
      "2018-06-29T09:30:00, CLOSE ORDER EXECUTED, Price: 3789.000, Size: -100.000, Cost: 376000.000, Comm 189.450, 1069263.3500000003\n",
      "2018-06-29T09:30:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 2900.00, NET 2522.55, , 1069263.3500000003\n",
      "2018-06-29T09:35:00, OPEN ORDER Sell EXECUTED, Price: 3787.000, Size: -50.000, Cost: -189350.000, Comm 94.675, 1258518.6750000003\n",
      "2018-06-29T09:45:00, OPEN ORDER Sell EXECUTED, Price: 3790.000, Size: -50.000, Cost: -189500.000, Comm 94.750, 1447923.9250000003\n",
      "2018-07-02T14:40:00, STOP/LIMIT ORDER EXECUTED, Price: 3740.000, Size: 100.000, Cost: -378850.000, Comm 187.000, 1073736.925\n",
      "2018-07-02T14:40:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 4850.00, NET 4473.57, , 1073736.925\n",
      "2018-07-03T14:00:00, OPEN ORDER Buy EXECUTED, Price: 3744.000, Size: 50.000, Cost: 187200.000, Comm 93.600, 1054923.325\n",
      "2018-07-03T14:55:00, OPEN ORDER Buy EXECUTED, Price: 3750.000, Size: 50.000, Cost: 187500.000, Comm 93.750, 1036079.575\n",
      "2018-07-03T22:35:00, CLOSE ORDER EXECUTED, Price: 3779.000, Size: -100.000, Cost: 374700.000, Comm 188.950, 1076560.625\n",
      "2018-07-03T22:35:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 3200.00, NET 2823.70, , 1076560.625\n",
      "2018-07-03T22:40:00, OPEN ORDER Sell EXECUTED, Price: 3773.000, Size: -50.000, Cost: -188650.000, Comm 94.325, 1265116.3\n",
      "2018-07-04T14:40:00, CLOSE ORDER EXECUTED, Price: 3791.000, Size: 50.000, Cost: -188650.000, Comm 94.775, 1075471.5250000001\n",
      "2018-07-04T14:40:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -900.00, NET -1089.10, , 1075471.5250000001\n",
      "2018-07-04T14:45:00, OPEN ORDER Buy EXECUTED, Price: 3789.000, Size: 50.000, Cost: 189450.000, Comm 94.725, 1056431.8\n",
      "2018-07-05T09:45:00, CLOSE ORDER EXECUTED, Price: 3772.000, Size: -50.000, Cost: 189450.000, Comm 94.300, 1074432.5\n",
      "2018-07-05T09:45:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -850.00, NET -1039.03, , 1074432.5\n",
      "2018-07-05T09:50:00, OPEN ORDER Sell EXECUTED, Price: 3766.000, Size: -50.000, Cost: -188300.000, Comm 94.150, 1262638.35\n",
      "2018-07-05T10:00:00, OPEN ORDER Sell EXECUTED, Price: 3763.000, Size: -50.000, Cost: -188150.000, Comm 94.075, 1450694.2750000001\n",
      "2018-07-05T10:10:00, OPEN ORDER Sell EXECUTED, Price: 3763.000, Size: -50.000, Cost: -188150.000, Comm 94.075, 1638750.2000000002\n",
      "2018-07-05T11:25:00, CLOSE ORDER EXECUTED, Price: 3754.000, Size: 150.000, Cost: -564600.000, Comm 281.550, 1075368.65\n",
      "2018-07-05T11:25:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS 1500.00, NET 936.15, , 1075368.65\n",
      "2018-07-05T13:30:00, OPEN ORDER Buy EXECUTED, Price: 3758.000, Size: 50.000, Cost: 187900.000, Comm 93.950, 1056484.7\n",
      "2018-07-05T14:15:00, STOP/LIMIT ORDER EXECUTED, Price: 3802.000, Size: -50.000, Cost: 187900.000, Comm 95.050, 1077379.65\n",
      "2018-07-05T14:15:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2200.00, NET 2011.00, , 1077379.65\n",
      "2018-07-06T10:35:00, OPEN ORDER Buy EXECUTED, Price: 3739.000, Size: 50.000, Cost: 186950.000, Comm 93.475, 1058591.1749999998\n",
      "2018-07-06T13:30:00, STOP/LIMIT ORDER EXECUTED, Price: 3789.000, Size: -50.000, Cost: 186950.000, Comm 94.725, 1079691.4499999997\n",
      "2018-07-06T13:30:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2500.00, NET 2311.80, , 1079691.4499999997\n",
      "2018-07-06T21:35:00, OPEN ORDER Buy EXECUTED, Price: 3757.000, Size: 50.000, Cost: 187850.000, Comm 93.925, 1060812.5249999997\n",
      "2018-07-09T11:20:00, STOP/LIMIT ORDER EXECUTED, Price: 3808.000, Size: -50.000, Cost: 187850.000, Comm 95.200, 1082052.3249999997\n",
      "2018-07-09T11:20:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2550.00, NET 2360.88, , 1082052.3249999997\n",
      "2018-07-09T22:35:00, OPEN ORDER Sell EXECUTED, Price: 3850.000, Size: -50.000, Cost: -192500.000, Comm 96.250, 1274456.0749999997\n",
      "2018-07-09T22:45:00, CLOSE ORDER EXECUTED, Price: 3850.000, Size: 50.000, Cost: -192500.000, Comm 96.250, 1081859.8249999997\n",
      "2018-07-09T22:45:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 0.00, NET -192.50, , 1081859.8249999997\n",
      "2018-07-10T09:10:00, OPEN ORDER Buy EXECUTED, Price: 3859.000, Size: 50.000, Cost: 192950.000, Comm 96.475, 1062468.3499999996\n",
      "2018-07-10T11:25:00, OPEN ORDER Buy EXECUTED, Price: 3875.000, Size: 50.000, Cost: 193750.000, Comm 96.875, 1042996.4749999996\n",
      "2018-07-10T13:40:00, OPEN ORDER Buy EXECUTED, Price: 3861.000, Size: 50.000, Cost: 193050.000, Comm 96.525, 1023594.9499999996\n",
      "2018-07-11T21:15:00, OPEN ORDER Buy EXECUTED, Price: 3894.000, Size: 50.000, Cost: 194700.000, Comm 97.350, 1004027.5999999996\n",
      "2018-07-11T21:25:00, OPEN ORDER Buy EXECUTED, Price: 3899.000, Size: 50.000, Cost: 194950.000, Comm 97.475, 984435.1249999997\n",
      "2018-07-11T21:35:00, OPEN ORDER Buy EXECUTED, Price: 3900.000, Size: 50.000, Cost: 195000.000, Comm 97.500, 964837.6249999997\n",
      "2018-07-12T09:30:00, STOP/LIMIT ORDER EXECUTED, Price: 3949.000, Size: -300.000, Cost: 1164400.000, Comm 592.350, 1100985.2749999994\n",
      "2018-07-12T09:30:00, OPERATION PROFIT, MARTIN_NUM 6, GROSS 20300.00, NET 19125.45, , 1100985.2749999994\n",
      "2018-07-12T09:45:00, OPEN ORDER Buy EXECUTED, Price: 3951.000, Size: 50.000, Cost: 197550.000, Comm 98.775, 1081131.4999999995\n",
      "2018-07-12T10:05:00, OPEN ORDER Buy EXECUTED, Price: 3945.000, Size: 50.000, Cost: 197250.000, Comm 98.625, 1061307.8749999995\n",
      "2018-07-12T10:30:00, OPEN ORDER Buy EXECUTED, Price: 3946.000, Size: 50.000, Cost: 197300.000, Comm 98.650, 1041479.2249999995\n",
      "2018-07-12T10:40:00, OPEN ORDER Buy EXECUTED, Price: 3949.000, Size: 50.000, Cost: 197450.000, Comm 98.725, 1021635.4999999995\n",
      "2018-07-12T10:50:00, OPEN ORDER Buy EXECUTED, Price: 3953.000, Size: 50.000, Cost: 197650.000, Comm 98.825, 1001771.6749999996\n",
      "2018-07-12T11:00:00, OPEN ORDER Buy EXECUTED, Price: 3961.000, Size: 50.000, Cost: 198050.000, Comm 99.025, 981867.6499999996\n",
      "2018-07-12T21:30:00, CLOSE ORDER EXECUTED, Price: 3978.000, Size: -300.000, Cost: 1185250.000, Comm 596.700, 1107945.9499999995\n",
      "2018-07-12T21:30:00, OPERATION PROFIT, MARTIN_NUM 6, GROSS 8150.00, NET 6960.67, , 1107945.9499999995\n",
      "2018-07-12T22:05:00, OPEN ORDER Buy EXECUTED, Price: 3978.000, Size: 50.000, Cost: 198900.000, Comm 99.450, 1087956.4999999995\n",
      "2018-07-16T14:50:00, OPEN ORDER Buy EXECUTED, Price: 3953.000, Size: 50.000, Cost: 197650.000, Comm 98.825, 1068092.6749999996\n",
      "2018-07-16T22:10:00, OPEN ORDER Buy EXECUTED, Price: 3936.000, Size: 50.000, Cost: 196800.000, Comm 98.400, 1048314.2749999996\n",
      "2018-07-16T22:55:00, OPEN ORDER Buy EXECUTED, Price: 3929.000, Size: 50.000, Cost: 196450.000, Comm 98.225, 1028571.0499999996\n",
      "2018-07-17T21:35:00, CLOSE ORDER EXECUTED, Price: 3930.000, Size: -200.000, Cost: 789800.000, Comm 393.000, 1103358.0499999996\n",
      "2018-07-17T21:35:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS -3800.00, NET -4587.90, , 1103358.0499999996\n",
      "2018-07-17T21:40:00, OPEN ORDER Sell EXECUTED, Price: 3930.000, Size: -50.000, Cost: -196500.000, Comm 98.250, 1299759.7999999996\n",
      "2018-07-17T21:50:00, OPEN ORDER Sell EXECUTED, Price: 3931.000, Size: -50.000, Cost: -196550.000, Comm 98.275, 1496211.5249999997\n",
      "2018-07-18T10:05:00, OPEN ORDER Sell EXECUTED, Price: 3930.000, Size: -50.000, Cost: -196500.000, Comm 98.250, 1692613.2749999997\n",
      "2018-07-18T10:35:00, OPEN ORDER Sell EXECUTED, Price: 3943.000, Size: -50.000, Cost: -197150.000, Comm 98.575, 1889664.6999999997\n",
      "2018-07-18T10:50:00, OPEN ORDER Sell EXECUTED, Price: 3942.000, Size: -50.000, Cost: -197100.000, Comm 98.550, 2086666.1499999997\n",
      "2018-07-18T21:50:00, CLOSE ORDER EXECUTED, Price: 3968.000, Size: 250.000, Cost: -983800.000, Comm 496.000, 1094170.1499999994\n",
      "2018-07-18T21:50:00, OPERATION PROFIT, MARTIN_NUM 5, GROSS -8200.00, NET -9187.90, , 1094170.1499999994\n",
      "2018-07-18T21:55:00, OPEN ORDER Buy EXECUTED, Price: 3972.000, Size: 50.000, Cost: 198600.000, Comm 99.300, 1074210.8499999994\n",
      "2018-07-18T22:20:00, OPEN ORDER Buy EXECUTED, Price: 3974.000, Size: 50.000, Cost: 198700.000, Comm 99.350, 1054241.4999999993\n",
      "2018-07-20T22:25:00, OPEN ORDER Buy EXECUTED, Price: 3980.000, Size: 50.000, Cost: 199000.000, Comm 99.500, 1034241.9999999993\n",
      "2018-07-20T22:35:00, OPEN ORDER Buy EXECUTED, Price: 3979.000, Size: 50.000, Cost: 198950.000, Comm 99.475, 1014247.5249999993\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-07-23T10:55:00, CLOSE ORDER EXECUTED, Price: 4000.000, Size: -200.000, Cost: 795250.000, Comm 400.000, 1098122.5249999994\n",
      "2018-07-23T10:55:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS 4750.00, NET 3952.38, , 1098122.5249999994\n",
      "2018-07-23T11:00:00, OPEN ORDER Sell EXECUTED, Price: 4002.000, Size: -50.000, Cost: -200100.000, Comm 100.050, 1298122.4749999994\n",
      "2018-07-23T11:10:00, CLOSE ORDER EXECUTED, Price: 4007.000, Size: 50.000, Cost: -200100.000, Comm 100.175, 1097672.2999999993\n",
      "2018-07-23T11:10:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -250.00, NET -450.23, , 1097672.2999999993\n",
      "2018-07-23T14:55:00, OPEN ORDER Sell EXECUTED, Price: 4015.000, Size: -50.000, Cost: -200750.000, Comm 100.375, 1298321.9249999993\n",
      "2018-07-23T21:05:00, OPEN ORDER Sell EXECUTED, Price: 4029.000, Size: -50.000, Cost: -201450.000, Comm 100.725, 1499671.1999999993\n",
      "2018-07-23T21:15:00, OPEN ORDER Sell EXECUTED, Price: 4024.000, Size: -50.000, Cost: -201200.000, Comm 100.600, 1700770.5999999992\n",
      "2018-07-24T14:35:00, STOP/LIMIT ORDER EXECUTED, Price: 3975.000, Size: 150.000, Cost: -603400.000, Comm 298.125, 1104222.474999999\n",
      "2018-07-24T14:35:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS 7150.00, NET 6550.17, , 1104222.474999999\n",
      "2018-07-24T21:15:00, OPEN ORDER Buy EXECUTED, Price: 3986.000, Size: 50.000, Cost: 199300.000, Comm 99.650, 1084192.824999999\n",
      "2018-07-25T21:35:00, OPEN ORDER Buy EXECUTED, Price: 4000.000, Size: 50.000, Cost: 200000.000, Comm 100.000, 1064092.824999999\n",
      "2018-07-25T21:45:00, OPEN ORDER Buy EXECUTED, Price: 3994.000, Size: 50.000, Cost: 199700.000, Comm 99.850, 1044022.974999999\n",
      "2018-07-25T22:40:00, CLOSE ORDER EXECUTED, Price: 3996.000, Size: -150.000, Cost: 599000.000, Comm 299.700, 1104023.274999999\n",
      "2018-07-25T22:40:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS 400.00, NET -199.20, , 1104023.274999999\n",
      "2018-07-26T09:30:00, OPEN ORDER Buy EXECUTED, Price: 4006.000, Size: 50.000, Cost: 200300.000, Comm 100.150, 1083893.124999999\n",
      "2018-07-27T09:00:00, STOP/LIMIT ORDER EXECUTED, Price: 4056.000, Size: -50.000, Cost: 200300.000, Comm 101.400, 1106321.7249999992\n",
      "2018-07-27T09:00:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2500.00, NET 2298.45, , 1106321.7249999992\n",
      "2018-07-27T13:45:00, OPEN ORDER Buy EXECUTED, Price: 4079.000, Size: 50.000, Cost: 203950.000, Comm 101.975, 1085824.749999999\n",
      "2018-07-27T13:55:00, OPEN ORDER Buy EXECUTED, Price: 4094.000, Size: 50.000, Cost: 204700.000, Comm 102.350, 1065252.399999999\n",
      "2018-07-27T21:30:00, OPEN ORDER Buy EXECUTED, Price: 4110.000, Size: 50.000, Cost: 205500.000, Comm 102.750, 1044599.649999999\n",
      "2018-07-27T22:05:00, OPEN ORDER Buy EXECUTED, Price: 4112.000, Size: 50.000, Cost: 205600.000, Comm 102.800, 1023936.8499999989\n",
      "2018-07-31T09:25:00, STOP/LIMIT ORDER EXECUTED, Price: 4162.000, Size: -200.000, Cost: 819750.000, Comm 416.200, 1118145.649999999\n",
      "2018-07-31T09:25:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS 12650.00, NET 11823.92, , 1118145.649999999\n",
      "2018-07-31T10:00:00, OPEN ORDER Buy EXECUTED, Price: 4158.000, Size: 50.000, Cost: 207900.000, Comm 103.950, 1097251.699999999\n",
      "2018-07-31T10:30:00, OPEN ORDER Buy EXECUTED, Price: 4155.000, Size: 50.000, Cost: 207750.000, Comm 103.875, 1076372.824999999\n",
      "2018-07-31T14:55:00, OPEN ORDER Buy EXECUTED, Price: 4172.000, Size: 50.000, Cost: 208600.000, Comm 104.300, 1055408.524999999\n",
      "2018-07-31T21:20:00, OPEN ORDER Buy EXECUTED, Price: 4178.000, Size: 50.000, Cost: 208900.000, Comm 104.450, 1034414.074999999\n",
      "2018-08-01T09:45:00, STOP/LIMIT ORDER EXECUTED, Price: 4229.000, Size: -200.000, Cost: 833150.000, Comm 422.900, 1129956.174999999\n",
      "2018-08-01T09:45:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS 12650.00, NET 11810.52, , 1129956.174999999\n",
      "2018-08-01T09:55:00, OPEN ORDER Buy EXECUTED, Price: 4236.000, Size: 50.000, Cost: 211800.000, Comm 105.900, 1108670.2749999992\n",
      "2018-08-01T10:40:00, OPEN ORDER Buy EXECUTED, Price: 4220.000, Size: 50.000, Cost: 211000.000, Comm 105.500, 1087464.7749999992\n",
      "2018-08-01T10:50:00, OPEN ORDER Buy EXECUTED, Price: 4207.000, Size: 50.000, Cost: 210350.000, Comm 105.175, 1066324.5999999992\n",
      "2018-08-01T13:40:00, OPEN ORDER Buy EXECUTED, Price: 4180.000, Size: 50.000, Cost: 209000.000, Comm 104.500, 1045320.0999999992\n",
      "2018-08-01T21:00:00, OPEN ORDER Buy EXECUTED, Price: 4131.000, Size: 50.000, Cost: 206550.000, Comm 103.275, 1024561.8249999991\n",
      "2018-08-01T21:40:00, OPEN ORDER Buy EXECUTED, Price: 4128.000, Size: 50.000, Cost: 206400.000, Comm 103.200, 1003818.6249999992\n",
      "2018-08-02T21:10:00, OPEN ORDER Buy EXECUTED, Price: 4150.000, Size: 50.000, Cost: 207500.000, Comm 103.750, 982964.8749999992\n",
      "2018-08-02T21:30:00, OPEN ORDER Buy EXECUTED, Price: 4152.000, Size: 50.000, Cost: 207600.000, Comm 103.800, 962101.0749999991\n",
      "2018-08-03T14:40:00, OPEN ORDER Buy EXECUTED, Price: 4191.000, Size: 50.000, Cost: 209550.000, Comm 104.775, 941041.2999999991\n",
      "2018-08-06T21:00:00, STOP/LIMIT ORDER EXECUTED, Price: 4241.000, Size: -450.000, Cost: 1879750.000, Comm 954.225, 1156762.0749999988\n",
      "2018-08-06T21:00:00, OPERATION PROFIT, MARTIN_NUM 9, GROSS 28700.00, NET 26805.90, , 1156762.0749999988\n",
      "2018-08-07T21:40:00, OPEN ORDER Sell EXECUTED, Price: 4238.000, Size: -50.000, Cost: -211900.000, Comm 105.950, 1368556.1249999988\n",
      "2018-08-07T22:30:00, OPEN ORDER Sell EXECUTED, Price: 4220.000, Size: -50.000, Cost: -211000.000, Comm 105.500, 1579450.6249999988\n",
      "2018-08-07T22:40:00, OPEN ORDER Sell EXECUTED, Price: 4221.000, Size: -50.000, Cost: -211050.000, Comm 105.525, 1790395.099999999\n",
      "2018-08-09T14:00:00, OPEN ORDER Sell EXECUTED, Price: 4236.000, Size: -50.000, Cost: -211800.000, Comm 105.900, 2002089.199999999\n",
      "2018-08-09T21:05:00, CLOSE ORDER EXECUTED, Price: 4224.000, Size: 200.000, Cost: -845750.000, Comm 422.400, 1156866.799999999\n",
      "2018-08-09T21:05:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS 950.00, NET 104.72, , 1156866.799999999\n",
      "2018-08-13T10:45:00, OPEN ORDER Buy EXECUTED, Price: 4299.000, Size: 50.000, Cost: 214950.000, Comm 107.475, 1135264.324999999\n",
      "2018-08-13T21:00:00, STOP/LIMIT ORDER EXECUTED, Price: 4350.000, Size: -50.000, Cost: 214950.000, Comm 108.750, 1159200.574999999\n",
      "2018-08-13T21:00:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2550.00, NET 2333.77, , 1159200.574999999\n",
      "2018-08-13T22:20:00, OPEN ORDER Buy EXECUTED, Price: 4347.000, Size: 50.000, Cost: 217350.000, Comm 108.675, 1137356.899999999\n",
      "2018-08-13T22:35:00, OPEN ORDER Buy EXECUTED, Price: 4349.000, Size: 50.000, Cost: 217450.000, Comm 108.725, 1115503.1749999989\n",
      "2018-08-14T09:05:00, CLOSE ORDER EXECUTED, Price: 4357.000, Size: -100.000, Cost: 434800.000, Comm 217.850, 1159665.3249999988\n",
      "2018-08-14T09:05:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 900.00, NET 464.75, , 1159665.3249999988\n",
      "2018-08-14T09:40:00, OPEN ORDER Sell EXECUTED, Price: 4348.000, Size: -50.000, Cost: -217400.000, Comm 108.700, 1376956.6249999988\n",
      "2018-08-14T21:00:00, STOP/LIMIT ORDER EXECUTED, Price: 4137.000, Size: 50.000, Cost: -217400.000, Comm 103.425, 1170003.1999999988\n",
      "2018-08-14T21:00:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 10550.00, NET 10337.88, , 1170003.1999999988\n",
      "2018-08-15T21:25:00, OPEN ORDER Buy EXECUTED, Price: 4148.000, Size: 50.000, Cost: 207400.000, Comm 103.700, 1149159.4999999988\n",
      "2018-08-15T21:35:00, OPEN ORDER Buy EXECUTED, Price: 4161.000, Size: 50.000, Cost: 208050.000, Comm 104.025, 1128250.474999999\n",
      "2018-08-16T09:25:00, OPEN ORDER Buy EXECUTED, Price: 4114.000, Size: 50.000, Cost: 205700.000, Comm 102.850, 1107577.6249999988\n",
      "2018-08-16T10:10:00, CLOSE ORDER EXECUTED, Price: 4131.000, Size: -150.000, Cost: 621150.000, Comm 309.825, 1167882.7999999989\n",
      "2018-08-16T10:10:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS -1500.00, NET -2120.40, , 1167882.7999999989\n",
      "2018-08-16T10:30:00, OPEN ORDER Sell EXECUTED, Price: 4150.000, Size: -50.000, Cost: -207500.000, Comm 103.750, 1375279.0499999989\n",
      "2018-08-16T10:40:00, OPEN ORDER Sell EXECUTED, Price: 4154.000, Size: -50.000, Cost: -207700.000, Comm 103.850, 1582875.1999999988\n",
      "2018-08-16T10:50:00, OPEN ORDER Sell EXECUTED, Price: 4145.000, Size: -50.000, Cost: -207250.000, Comm 103.625, 1790021.5749999988\n",
      "2018-08-16T21:20:00, CLOSE ORDER EXECUTED, Price: 4167.000, Size: 150.000, Cost: -622450.000, Comm 312.525, 1164659.0499999989\n",
      "2018-08-16T21:20:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS -2600.00, NET -3223.75, , 1164659.0499999989\n",
      "2018-08-17T14:55:00, OPEN ORDER Buy EXECUTED, Price: 4293.000, Size: 50.000, Cost: 214650.000, Comm 107.325, 1143086.724999999\n",
      "2018-08-17T22:30:00, OPEN ORDER Buy EXECUTED, Price: 4332.000, Size: 50.000, Cost: 216600.000, Comm 108.300, 1121318.4249999989\n",
      "2018-08-20T09:05:00, OPEN ORDER Buy EXECUTED, Price: 4328.000, Size: 50.000, Cost: 216400.000, Comm 108.200, 1099570.224999999\n",
      "2018-08-20T09:15:00, OPEN ORDER Buy EXECUTED, Price: 4348.000, Size: 50.000, Cost: 217400.000, Comm 108.700, 1077721.524999999\n",
      "2018-08-20T14:30:00, STOP/LIMIT ORDER EXECUTED, Price: 4399.000, Size: -200.000, Cost: 865050.000, Comm 439.900, 1178536.624999999\n",
      "2018-08-20T14:30:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS 14750.00, NET 13877.58, , 1178536.624999999\n",
      "2018-08-21T09:00:00, OPEN ORDER Buy EXECUTED, Price: 4380.000, Size: 50.000, Cost: 219000.000, Comm 109.500, 1156527.124999999\n",
      "2018-08-21T22:55:00, OPEN ORDER Buy EXECUTED, Price: 4348.000, Size: 50.000, Cost: 217400.000, Comm 108.700, 1134678.424999999\n",
      "2018-08-22T09:05:00, OPEN ORDER Buy EXECUTED, Price: 4350.000, Size: 50.000, Cost: 217500.000, Comm 108.750, 1112819.674999999\n",
      "2018-08-22T09:25:00, OPEN ORDER Buy EXECUTED, Price: 4350.000, Size: 50.000, Cost: 217500.000, Comm 108.750, 1090960.924999999\n",
      "2018-08-22T10:05:00, STOP/LIMIT ORDER EXECUTED, Price: 4400.000, Size: -200.000, Cost: 871400.000, Comm 440.000, 1186260.9249999989\n",
      "2018-08-22T10:05:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS 8600.00, NET 7724.30, , 1186260.9249999989\n",
      "2018-08-22T14:10:00, OPEN ORDER Buy EXECUTED, Price: 4372.000, Size: 50.000, Cost: 218600.000, Comm 109.300, 1164291.6249999988\n",
      "2018-08-22T21:40:00, OPEN ORDER Buy EXECUTED, Price: 4344.000, Size: 50.000, Cost: 217200.000, Comm 108.600, 1142463.0249999987\n",
      "2018-08-22T22:25:00, OPEN ORDER Buy EXECUTED, Price: 4335.000, Size: 50.000, Cost: 216750.000, Comm 108.375, 1120679.6499999987\n",
      "2018-08-23T09:25:00, OPEN ORDER Buy EXECUTED, Price: 4341.000, Size: 50.000, Cost: 217050.000, Comm 108.525, 1098866.1249999988\n",
      "2018-08-23T10:10:00, OPEN ORDER Buy EXECUTED, Price: 4290.000, Size: 50.000, Cost: 214500.000, Comm 107.250, 1077308.8749999988\n",
      "2018-08-23T21:30:00, OPEN ORDER Buy EXECUTED, Price: 4280.000, Size: 50.000, Cost: 214000.000, Comm 107.000, 1055801.8749999988\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-08-24T09:50:00, OPEN ORDER Buy EXECUTED, Price: 4290.000, Size: 50.000, Cost: 214500.000, Comm 107.250, 1034244.6249999988\n",
      "2018-08-24T10:00:00, OPEN ORDER Buy EXECUTED, Price: 4294.000, Size: 50.000, Cost: 214700.000, Comm 107.350, 1012667.2749999989\n",
      "2018-08-24T14:55:00, STOP/LIMIT ORDER EXECUTED, Price: 4344.000, Size: -400.000, Cost: 1727300.000, Comm 868.800, 1194828.4749999985\n",
      "2018-08-24T14:55:00, OPERATION PROFIT, MARTIN_NUM 8, GROSS 10300.00, NET 8567.55, , 1194828.4749999985\n",
      "2018-08-27T22:15:00, OPEN ORDER Sell EXECUTED, Price: 4218.000, Size: -50.000, Cost: -210900.000, Comm 105.450, 1405623.0249999985\n",
      "2018-08-27T22:25:00, OPEN ORDER Sell EXECUTED, Price: 4217.000, Size: -50.000, Cost: -210850.000, Comm 105.425, 1616367.5999999985\n",
      "2018-08-28T09:05:00, CLOSE ORDER EXECUTED, Price: 4225.000, Size: 100.000, Cost: -421750.000, Comm 211.250, 1193656.3499999985\n",
      "2018-08-28T09:05:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS -750.00, NET -1172.12, , 1193656.3499999985\n",
      "2018-08-28T09:10:00, OPEN ORDER Buy EXECUTED, Price: 4222.000, Size: 50.000, Cost: 211100.000, Comm 105.550, 1172440.7999999984\n",
      "2018-08-28T09:20:00, OPEN ORDER Buy EXECUTED, Price: 4214.000, Size: 50.000, Cost: 210700.000, Comm 105.350, 1151265.4499999983\n",
      "2018-08-29T11:25:00, STOP/LIMIT ORDER EXECUTED, Price: 4264.000, Size: -100.000, Cost: 421800.000, Comm 213.200, 1197832.2499999984\n",
      "2018-08-29T11:25:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 4600.00, NET 4175.90, , 1197832.2499999984\n",
      "2018-08-30T14:15:00, OPEN ORDER Sell EXECUTED, Price: 4110.000, Size: -50.000, Cost: -205500.000, Comm 102.750, 1403229.4999999984\n",
      "2018-08-30T14:25:00, OPEN ORDER Sell EXECUTED, Price: 4113.000, Size: -50.000, Cost: -205650.000, Comm 102.825, 1608776.6749999984\n",
      "2018-08-30T14:35:00, OPEN ORDER Sell EXECUTED, Price: 4106.000, Size: -50.000, Cost: -205300.000, Comm 102.650, 1813974.0249999985\n",
      "2018-08-30T14:45:00, OPEN ORDER Sell EXECUTED, Price: 4109.000, Size: -50.000, Cost: -205450.000, Comm 102.725, 2019321.2999999984\n",
      "2018-08-30T21:45:00, CLOSE ORDER EXECUTED, Price: 4115.000, Size: 200.000, Cost: -821900.000, Comm 411.500, 1195909.7999999984\n",
      "2018-08-30T21:45:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS -1100.00, NET -1922.45, , 1195909.7999999984\n",
      "2018-08-31T09:45:00, OPEN ORDER Sell EXECUTED, Price: 4102.000, Size: -50.000, Cost: -205100.000, Comm 102.550, 1400907.2499999984\n",
      "2018-08-31T09:55:00, OPEN ORDER Sell EXECUTED, Price: 4102.000, Size: -50.000, Cost: -205100.000, Comm 102.550, 1605904.6999999983\n",
      "2018-08-31T10:05:00, OPEN ORDER Sell EXECUTED, Price: 4092.000, Size: -50.000, Cost: -204600.000, Comm 102.300, 1810402.3999999983\n",
      "2018-08-31T10:30:00, OPEN ORDER Sell EXECUTED, Price: 4096.000, Size: -50.000, Cost: -204800.000, Comm 102.400, 2015099.9999999984\n",
      "2018-09-03T21:15:00, OPEN ORDER Sell EXECUTED, Price: 4083.000, Size: -50.000, Cost: -204150.000, Comm 102.075, 2219147.9249999984\n",
      "2018-09-04T09:35:00, OPEN ORDER Sell EXECUTED, Price: 4113.000, Size: -50.000, Cost: -205650.000, Comm 102.825, 2424695.099999998\n",
      "2018-09-04T22:50:00, CLOSE ORDER EXECUTED, Price: 4111.000, Size: 300.000, Cost: -1229400.000, Comm 616.650, 1190778.4499999983\n",
      "2018-09-04T22:50:00, OPERATION PROFIT, MARTIN_NUM 6, GROSS -3900.00, NET -5131.35, , 1190778.4499999983\n",
      "2018-09-05T11:25:00, OPEN ORDER Buy EXECUTED, Price: 4079.000, Size: 50.000, Cost: 203950.000, Comm 101.975, 1170281.4749999982\n",
      "2018-09-05T13:45:00, OPEN ORDER Buy EXECUTED, Price: 4062.000, Size: 50.000, Cost: 203100.000, Comm 101.550, 1149869.9249999982\n",
      "2018-09-05T14:05:00, OPEN ORDER Buy EXECUTED, Price: 4069.000, Size: 50.000, Cost: 203450.000, Comm 101.725, 1129423.199999998\n",
      "2018-09-05T21:00:00, STOP/LIMIT ORDER EXECUTED, Price: 4119.000, Size: -150.000, Cost: 610500.000, Comm 308.925, 1197514.274999998\n",
      "2018-09-05T21:00:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS 7350.00, NET 6735.82, , 1197514.274999998\n",
      "2018-09-06T14:35:00, OPEN ORDER Buy EXECUTED, Price: 4134.000, Size: 50.000, Cost: 206700.000, Comm 103.350, 1176740.924999998\n",
      "2018-09-06T21:05:00, STOP/LIMIT ORDER EXECUTED, Price: 4185.000, Size: -50.000, Cost: 206700.000, Comm 104.625, 1199856.299999998\n",
      "2018-09-06T21:05:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2550.00, NET 2342.03, , 1199856.299999998\n",
      "2018-09-07T10:55:00, OPEN ORDER Buy EXECUTED, Price: 4230.000, Size: 50.000, Cost: 211500.000, Comm 105.750, 1178600.549999998\n",
      "2018-09-10T09:00:00, STOP/LIMIT ORDER EXECUTED, Price: 4280.000, Size: -50.000, Cost: 211500.000, Comm 107.000, 1202143.549999998\n",
      "2018-09-10T09:00:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2500.00, NET 2287.25, , 1202143.549999998\n",
      "2018-09-10T21:55:00, OPEN ORDER Buy EXECUTED, Price: 4207.000, Size: 50.000, Cost: 210350.000, Comm 105.175, 1181003.374999998\n",
      "2018-09-10T22:10:00, OPEN ORDER Buy EXECUTED, Price: 4196.000, Size: 50.000, Cost: 209800.000, Comm 104.900, 1159918.474999998\n",
      "2018-09-11T14:10:00, OPEN ORDER Buy EXECUTED, Price: 4152.000, Size: 50.000, Cost: 207600.000, Comm 103.800, 1139054.674999998\n",
      "2018-09-12T09:50:00, CLOSE ORDER EXECUTED, Price: 4013.000, Size: -150.000, Cost: 627750.000, Comm 300.975, 1175728.6999999976\n",
      "2018-09-12T09:50:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS -25800.00, NET -26414.85, , 1175728.6999999976\n",
      "2018-09-12T09:55:00, OPEN ORDER Sell EXECUTED, Price: 4011.000, Size: -50.000, Cost: -200550.000, Comm 100.275, 1376178.4249999977\n",
      "2018-09-12T10:05:00, OPEN ORDER Sell EXECUTED, Price: 4002.000, Size: -50.000, Cost: -200100.000, Comm 100.050, 1576178.3749999977\n",
      "2018-09-12T14:00:00, CLOSE ORDER EXECUTED, Price: 4047.000, Size: 100.000, Cost: -400650.000, Comm 202.350, 1171276.0249999976\n",
      "2018-09-12T14:00:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS -4050.00, NET -4452.68, , 1171276.0249999976\n",
      "2018-09-12T14:35:00, OPEN ORDER Buy EXECUTED, Price: 4046.000, Size: 50.000, Cost: 202300.000, Comm 101.150, 1150944.8749999977\n",
      "2018-09-14T11:25:00, STOP/LIMIT ORDER EXECUTED, Price: 4097.000, Size: -50.000, Cost: 202300.000, Comm 102.425, 1173622.4499999976\n",
      "2018-09-14T11:25:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2550.00, NET 2346.43, , 1173622.4499999976\n",
      "2018-09-17T09:50:00, OPEN ORDER Buy EXECUTED, Price: 4137.000, Size: 50.000, Cost: 206850.000, Comm 103.425, 1152834.0249999976\n",
      "2018-09-17T21:00:00, OPEN ORDER Buy EXECUTED, Price: 4100.000, Size: 50.000, Cost: 205000.000, Comm 102.500, 1132231.5249999976\n",
      "2018-09-17T21:10:00, OPEN ORDER Buy EXECUTED, Price: 4122.000, Size: 50.000, Cost: 206100.000, Comm 103.050, 1111518.4749999975\n",
      "2018-09-18T21:00:00, STOP/LIMIT ORDER EXECUTED, Price: 4180.000, Size: -150.000, Cost: 617950.000, Comm 313.500, 1182049.9749999973\n",
      "2018-09-18T21:00:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS 9050.00, NET 8427.52, , 1182049.9749999973\n",
      "2018-09-20T10:50:00, OPEN ORDER Buy EXECUTED, Price: 4131.000, Size: 50.000, Cost: 206550.000, Comm 103.275, 1161291.6999999974\n",
      "2018-09-20T11:05:00, OPEN ORDER Buy EXECUTED, Price: 4132.000, Size: 50.000, Cost: 206600.000, Comm 103.300, 1140528.3999999973\n",
      "2018-09-20T22:10:00, OPEN ORDER Buy EXECUTED, Price: 4130.000, Size: 50.000, Cost: 206500.000, Comm 103.250, 1119775.1499999973\n",
      "2018-09-20T22:25:00, OPEN ORDER Buy EXECUTED, Price: 4138.000, Size: 50.000, Cost: 206900.000, Comm 103.450, 1098981.6999999974\n",
      "2018-09-25T21:20:00, OPEN ORDER Buy EXECUTED, Price: 4064.000, Size: 50.000, Cost: 203200.000, Comm 101.600, 1078560.0999999973\n",
      "2018-09-25T21:45:00, OPEN ORDER Buy EXECUTED, Price: 4067.000, Size: 50.000, Cost: 203350.000, Comm 101.675, 1058123.4249999973\n",
      "2018-09-25T22:15:00, OPEN ORDER Buy EXECUTED, Price: 4066.000, Size: 50.000, Cost: 203300.000, Comm 101.650, 1037691.7749999972\n",
      "2018-09-26T09:35:00, OPEN ORDER Buy EXECUTED, Price: 4051.000, Size: 50.000, Cost: 202550.000, Comm 101.275, 1017335.4999999972\n",
      "2018-09-26T21:00:00, CLOSE ORDER EXECUTED, Price: 4078.000, Size: -400.000, Cost: 1638950.000, Comm 815.600, 1172664.899999997\n",
      "2018-09-26T21:00:00, OPERATION PROFIT, MARTIN_NUM 8, GROSS -7750.00, NET -9385.08, , 1172664.899999997\n",
      "2018-09-26T21:05:00, OPEN ORDER Sell EXECUTED, Price: 4072.000, Size: -50.000, Cost: -203600.000, Comm 101.800, 1376163.099999997\n",
      "2018-09-26T21:20:00, CLOSE ORDER EXECUTED, Price: 4083.000, Size: 50.000, Cost: -203600.000, Comm 102.075, 1171911.024999997\n",
      "2018-09-26T21:20:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -550.00, NET -753.88, , 1171911.024999997\n",
      "2018-09-27T10:45:00, OPEN ORDER Buy EXECUTED, Price: 4075.000, Size: 50.000, Cost: 203750.000, Comm 101.875, 1151434.149999997\n",
      "2018-09-27T11:15:00, OPEN ORDER Buy EXECUTED, Price: 4070.000, Size: 50.000, Cost: 203500.000, Comm 101.750, 1130982.399999997\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-10-09T22:40:00, CLOSE ORDER EXECUTED, Price: 4039.000, Size: -100.000, Cost: 407250.000, Comm 201.950, 1168155.4499999972\n",
      "2018-10-09T22:40:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS -3350.00, NET -3755.57, , 1168155.4499999972\n",
      "2018-10-11T09:55:00, OPEN ORDER Buy EXECUTED, Price: 4018.000, Size: 50.000, Cost: 200900.000, Comm 100.450, 1147964.9999999972\n",
      "2018-10-11T13:55:00, STOP/LIMIT ORDER EXECUTED, Price: 4068.000, Size: -50.000, Cost: 200900.000, Comm 101.700, 1170453.2999999973\n",
      "2018-10-11T13:55:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2500.00, NET 2297.85, , 1170453.2999999973\n",
      "2018-10-11T22:15:00, OPEN ORDER Buy EXECUTED, Price: 4073.000, Size: 50.000, Cost: 203650.000, Comm 101.825, 1149986.4749999973\n",
      "2018-10-12T09:20:00, OPEN ORDER Buy EXECUTED, Price: 4046.000, Size: 50.000, Cost: 202300.000, Comm 101.150, 1129655.3249999974\n",
      "2018-10-12T09:30:00, OPEN ORDER Buy EXECUTED, Price: 4052.000, Size: 50.000, Cost: 202600.000, Comm 101.300, 1109294.0249999973\n",
      "2018-10-12T09:50:00, OPEN ORDER Buy EXECUTED, Price: 4051.000, Size: 50.000, Cost: 202550.000, Comm 101.275, 1088937.7499999974\n",
      "2018-10-12T10:05:00, OPEN ORDER Buy EXECUTED, Price: 4060.000, Size: 50.000, Cost: 203000.000, Comm 101.500, 1068536.2499999974\n",
      "2018-10-12T13:40:00, STOP/LIMIT ORDER EXECUTED, Price: 4110.000, Size: -250.000, Cost: 1014100.000, Comm 513.750, 1182832.4999999974\n",
      "2018-10-12T13:40:00, OPERATION PROFIT, MARTIN_NUM 5, GROSS 13400.00, NET 12379.20, , 1182832.4999999974\n",
      "2018-10-12T22:10:00, OPEN ORDER Buy EXECUTED, Price: 4104.000, Size: 50.000, Cost: 205200.000, Comm 102.600, 1162209.8999999973\n",
      "2018-10-12T22:55:00, OPEN ORDER Buy EXECUTED, Price: 4111.000, Size: 50.000, Cost: 205550.000, Comm 102.775, 1141552.1249999974\n",
      "2018-10-15T14:00:00, STOP/LIMIT ORDER EXECUTED, Price: 4161.000, Size: -100.000, Cost: 410750.000, Comm 208.050, 1187769.0749999974\n",
      "2018-10-15T14:00:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 5350.00, NET 4936.57, , 1187769.0749999974\n",
      "2018-10-15T22:05:00, OPEN ORDER Buy EXECUTED, Price: 4127.000, Size: 50.000, Cost: 206350.000, Comm 103.175, 1167030.8999999973\n",
      "2018-10-16T09:35:00, OPEN ORDER Buy EXECUTED, Price: 4141.000, Size: 50.000, Cost: 207050.000, Comm 103.525, 1146222.3749999974\n",
      "2018-10-17T09:05:00, OPEN ORDER Buy EXECUTED, Price: 4141.000, Size: 50.000, Cost: 207050.000, Comm 103.525, 1125413.8499999975\n",
      "2018-10-17T09:20:00, OPEN ORDER Buy EXECUTED, Price: 4140.000, Size: 50.000, Cost: 207000.000, Comm 103.500, 1104610.3499999975\n",
      "2018-10-17T11:25:00, STOP/LIMIT ORDER EXECUTED, Price: 4189.000, Size: -200.000, Cost: 827450.000, Comm 418.900, 1197286.4499999976\n",
      "2018-10-17T11:25:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS 10350.00, NET 9517.38, , 1197286.4499999976\n",
      "2018-10-17T14:50:00, OPEN ORDER Buy EXECUTED, Price: 4187.000, Size: 50.000, Cost: 209350.000, Comm 104.675, 1176246.7749999976\n",
      "2018-10-17T21:45:00, OPEN ORDER Buy EXECUTED, Price: 4196.000, Size: 50.000, Cost: 209800.000, Comm 104.900, 1155161.8749999977\n",
      "2018-10-19T21:00:00, OPEN ORDER Buy EXECUTED, Price: 4055.000, Size: 50.000, Cost: 202750.000, Comm 101.375, 1134785.4999999977\n",
      "2018-10-19T21:50:00, CLOSE ORDER EXECUTED, Price: 4075.000, Size: -150.000, Cost: 621900.000, Comm 305.625, 1186019.8749999977\n",
      "2018-10-19T21:50:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS -10650.00, NET -11266.58, , 1186019.8749999977\n",
      "2018-10-19T21:55:00, OPEN ORDER Sell EXECUTED, Price: 4074.000, Size: -50.000, Cost: -203700.000, Comm 101.850, 1389618.0249999976\n",
      "2018-10-19T22:10:00, CLOSE ORDER EXECUTED, Price: 4104.000, Size: 50.000, Cost: -203700.000, Comm 102.600, 1184315.4249999975\n",
      "2018-10-19T22:10:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -1500.00, NET -1704.45, , 1184315.4249999975\n",
      "2018-10-22T21:30:00, OPEN ORDER Buy EXECUTED, Price: 4164.000, Size: 50.000, Cost: 208200.000, Comm 104.100, 1163391.3249999974\n",
      "2018-10-23T09:45:00, CLOSE ORDER EXECUTED, Price: 4163.000, Size: -50.000, Cost: 208200.000, Comm 104.075, 1184057.2499999974\n",
      "2018-10-23T09:45:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -50.00, NET -258.18, , 1184057.2499999974\n",
      "2018-10-23T09:50:00, OPEN ORDER Sell EXECUTED, Price: 4152.000, Size: -50.000, Cost: -207600.000, Comm 103.800, 1391553.4499999974\n",
      "2018-10-23T10:00:00, OPEN ORDER Sell EXECUTED, Price: 4151.000, Size: -50.000, Cost: -207550.000, Comm 103.775, 1598999.6749999975\n",
      "2018-10-23T14:40:00, CLOSE ORDER EXECUTED, Price: 4139.000, Size: 100.000, Cost: -415150.000, Comm 206.950, 1184892.7249999975\n",
      "2018-10-23T14:40:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 1250.00, NET 835.47, , 1184892.7249999975\n",
      "2018-10-24T22:30:00, OPEN ORDER Buy EXECUTED, Price: 4191.000, Size: 50.000, Cost: 209550.000, Comm 104.775, 1163832.9499999976\n",
      "2018-10-25T10:10:00, CLOSE ORDER EXECUTED, Price: 4164.000, Size: -50.000, Cost: 209550.000, Comm 104.100, 1183333.8499999975\n",
      "2018-10-25T10:10:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -1350.00, NET -1558.88, , 1183333.8499999975\n",
      "2018-10-25T10:30:00, OPEN ORDER Sell EXECUTED, Price: 4171.000, Size: -50.000, Cost: -208550.000, Comm 104.275, 1391779.5749999976\n",
      "2018-10-25T21:05:00, CLOSE ORDER EXECUTED, Price: 4194.000, Size: 50.000, Cost: -208550.000, Comm 104.850, 1181974.7249999975\n",
      "2018-10-25T21:05:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -1150.00, NET -1359.12, , 1181974.7249999975\n",
      "2018-10-25T21:10:00, OPEN ORDER Buy EXECUTED, Price: 4201.000, Size: 50.000, Cost: 210050.000, Comm 105.025, 1160864.6999999976\n",
      "2018-10-25T21:50:00, OPEN ORDER Buy EXECUTED, Price: 4220.000, Size: 50.000, Cost: 211000.000, Comm 105.500, 1139659.1999999976\n",
      "2018-10-26T22:35:00, OPEN ORDER Buy EXECUTED, Price: 4214.000, Size: 50.000, Cost: 210700.000, Comm 105.350, 1118483.8499999975\n",
      "2018-10-29T09:10:00, CLOSE ORDER EXECUTED, Price: 4209.000, Size: -150.000, Cost: 631750.000, Comm 315.675, 1180943.1749999975\n",
      "2018-10-29T09:10:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS -400.00, NET -1031.55, , 1180943.1749999975\n",
      "2018-10-29T09:15:00, OPEN ORDER Sell EXECUTED, Price: 4212.000, Size: -50.000, Cost: -210600.000, Comm 105.300, 1391437.8749999974\n",
      "2018-10-29T11:25:00, STOP/LIMIT ORDER EXECUTED, Price: 4163.000, Size: 50.000, Cost: -210600.000, Comm 104.075, 1183183.7999999975\n",
      "2018-10-29T11:25:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2450.00, NET 2240.62, , 1183183.7999999975\n",
      "2018-10-29T22:00:00, OPEN ORDER Buy EXECUTED, Price: 4176.000, Size: 50.000, Cost: 208800.000, Comm 104.400, 1162199.3999999976\n",
      "2018-10-29T22:15:00, OPEN ORDER Buy EXECUTED, Price: 4177.000, Size: 50.000, Cost: 208850.000, Comm 104.425, 1141209.9749999975\n",
      "2018-10-31T09:00:00, OPEN ORDER Buy EXECUTED, Price: 4131.000, Size: 50.000, Cost: 206550.000, Comm 103.275, 1120451.6999999976\n",
      "2018-10-31T09:20:00, OPEN ORDER Buy EXECUTED, Price: 4130.000, Size: 50.000, Cost: 206500.000, Comm 103.250, 1099698.4499999976\n",
      "2018-11-01T10:55:00, CLOSE ORDER EXECUTED, Price: 4133.000, Size: -200.000, Cost: 830700.000, Comm 413.300, 1178255.1499999976\n",
      "2018-11-01T10:55:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS -4100.00, NET -4928.65, , 1178255.1499999976\n",
      "2018-11-01T11:00:00, OPEN ORDER Sell EXECUTED, Price: 4138.000, Size: -50.000, Cost: -206900.000, Comm 103.450, 1385051.6999999976\n",
      "2018-11-01T13:40:00, STOP/LIMIT ORDER EXECUTED, Price: 4089.000, Size: 50.000, Cost: -206900.000, Comm 102.225, 1180499.4749999975\n",
      "2018-11-01T13:40:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2450.00, NET 2244.32, , 1180499.4749999975\n",
      "2018-11-01T22:20:00, OPEN ORDER Buy EXECUTED, Price: 4048.000, Size: 50.000, Cost: 202400.000, Comm 101.200, 1160158.2749999976\n",
      "2018-11-02T22:05:00, OPEN ORDER Buy EXECUTED, Price: 4058.000, Size: 50.000, Cost: 202900.000, Comm 101.450, 1139766.8249999976\n",
      "2018-11-02T22:55:00, CLOSE ORDER EXECUTED, Price: 4060.000, Size: -100.000, Cost: 405300.000, Comm 203.000, 1180793.8249999976\n",
      "2018-11-02T22:55:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 700.00, NET 294.35, , 1180793.8249999976\n",
      "2018-11-05T09:00:00, OPEN ORDER Sell EXECUTED, Price: 4064.000, Size: -50.000, Cost: -203200.000, Comm 101.600, 1383892.2249999975\n",
      "2018-11-05T09:20:00, STOP/LIMIT ORDER EXECUTED, Price: 4010.000, Size: 50.000, Cost: -203200.000, Comm 100.250, 1183291.9749999975\n",
      "2018-11-05T09:20:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2700.00, NET 2498.15, , 1183291.9749999975\n",
      "2018-11-05T21:10:00, OPEN ORDER Buy EXECUTED, Price: 4056.000, Size: 50.000, Cost: 202800.000, Comm 101.400, 1162910.5749999976\n",
      "2018-11-06T11:00:00, CLOSE ORDER EXECUTED, Price: 3987.000, Size: -50.000, Cost: 202800.000, Comm 99.675, 1179640.8999999976\n",
      "2018-11-06T11:00:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -3450.00, NET -3651.07, , 1179640.8999999976\n",
      "2018-11-06T11:20:00, OPEN ORDER Sell EXECUTED, Price: 3983.000, Size: -50.000, Cost: -199150.000, Comm 99.575, 1378691.3249999976\n",
      "2018-11-06T14:15:00, OPEN ORDER Sell EXECUTED, Price: 3959.000, Size: -50.000, Cost: -197950.000, Comm 98.975, 1576542.3499999975\n",
      "2018-11-06T14:25:00, OPEN ORDER Sell EXECUTED, Price: 3965.000, Size: -50.000, Cost: -198250.000, Comm 99.125, 1774693.2249999975\n",
      "2018-11-06T21:05:00, OPEN ORDER Sell EXECUTED, Price: 3946.000, Size: -50.000, Cost: -197300.000, Comm 98.650, 1971894.5749999976\n",
      "2018-11-06T21:15:00, OPEN ORDER Sell EXECUTED, Price: 3946.000, Size: -50.000, Cost: -197300.000, Comm 98.650, 2169095.9249999975\n",
      "2018-11-06T22:30:00, CLOSE ORDER EXECUTED, Price: 3953.000, Size: 250.000, Cost: -989950.000, Comm 494.125, 1180351.7999999975\n",
      "2018-11-06T22:30:00, OPERATION PROFIT, MARTIN_NUM 5, GROSS 1700.00, NET 710.90, , 1180351.7999999975\n",
      "2018-11-06T22:35:00, OPEN ORDER Buy EXECUTED, Price: 3956.000, Size: 50.000, Cost: 197800.000, Comm 98.900, 1160472.8999999976\n",
      "2018-11-06T22:45:00, OPEN ORDER Buy EXECUTED, Price: 3950.000, Size: 50.000, Cost: 197500.000, Comm 98.750, 1140624.1499999976\n",
      "2018-11-06T22:55:00, OPEN ORDER Buy EXECUTED, Price: 3942.000, Size: 50.000, Cost: 197100.000, Comm 98.550, 1120815.5999999975\n",
      "2018-11-07T14:25:00, CLOSE ORDER EXECUTED, Price: 3939.000, Size: -150.000, Cost: 592400.000, Comm 295.425, 1178210.1749999975\n",
      "2018-11-07T14:25:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS -1550.00, NET -2141.63, , 1178210.1749999975\n",
      "2018-11-08T10:00:00, OPEN ORDER Buy EXECUTED, Price: 3941.000, Size: 50.000, Cost: 197050.000, Comm 98.525, 1158406.6499999976\n",
      "2018-11-08T14:55:00, STOP/LIMIT ORDER EXECUTED, Price: 3991.000, Size: -50.000, Cost: 197050.000, Comm 99.775, 1180511.8749999977\n",
      "2018-11-08T14:55:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2500.00, NET 2301.70, , 1180511.8749999977\n",
      "2018-11-09T10:50:00, OPEN ORDER Buy EXECUTED, Price: 3965.000, Size: 50.000, Cost: 198250.000, Comm 99.125, 1160587.7499999977\n",
      "2018-11-09T21:45:00, OPEN ORDER Buy EXECUTED, Price: 3913.000, Size: 50.000, Cost: 195650.000, Comm 97.825, 1140924.9249999977\n",
      "2018-11-09T21:55:00, OPEN ORDER Buy EXECUTED, Price: 3916.000, Size: 50.000, Cost: 195800.000, Comm 97.900, 1121247.0249999978\n",
      "2018-11-09T22:05:00, OPEN ORDER Buy EXECUTED, Price: 3915.000, Size: 50.000, Cost: 195750.000, Comm 97.875, 1101574.1499999978\n",
      "2018-11-12T10:35:00, OPEN ORDER Buy EXECUTED, Price: 3853.000, Size: 50.000, Cost: 192650.000, Comm 96.325, 1082212.8249999979\n",
      "2018-11-12T10:45:00, OPEN ORDER Buy EXECUTED, Price: 3851.000, Size: 50.000, Cost: 192550.000, Comm 96.275, 1062861.549999998\n",
      "2018-11-12T10:55:00, OPEN ORDER Buy EXECUTED, Price: 3850.000, Size: 50.000, Cost: 192500.000, Comm 96.250, 1043515.299999998\n",
      "2018-11-12T11:15:00, OPEN ORDER Buy EXECUTED, Price: 3859.000, Size: 50.000, Cost: 192950.000, Comm 96.475, 1024123.824999998\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-11-12T22:45:00, OPEN ORDER Buy EXECUTED, Price: 3860.000, Size: 50.000, Cost: 193000.000, Comm 96.500, 1004727.324999998\n",
      "2018-11-13T10:30:00, OPEN ORDER Buy EXECUTED, Price: 3893.000, Size: 50.000, Cost: 194650.000, Comm 97.325, 985164.999999998\n",
      "2018-11-14T21:00:00, STOP/LIMIT ORDER EXECUTED, Price: 3943.000, Size: -500.000, Cost: 1943750.000, Comm 985.750, 1206304.2499999981\n",
      "2018-11-14T21:00:00, OPERATION PROFIT, MARTIN_NUM 10, GROSS 27750.00, NET 25792.38, , 1206304.2499999981\n",
      "2018-11-15T14:50:00, OPEN ORDER Buy EXECUTED, Price: 3876.000, Size: 50.000, Cost: 193800.000, Comm 96.900, 1186827.3499999982\n",
      "2018-11-15T21:50:00, STOP/LIMIT ORDER EXECUTED, Price: 3927.000, Size: -50.000, Cost: 193800.000, Comm 98.175, 1208659.1749999982\n",
      "2018-11-15T21:50:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2550.00, NET 2354.93, , 1208659.1749999982\n",
      "2018-11-16T11:15:00, OPEN ORDER Buy EXECUTED, Price: 3899.000, Size: 50.000, Cost: 194950.000, Comm 97.475, 1189066.699999998\n",
      "2018-11-16T22:20:00, OPEN ORDER Buy EXECUTED, Price: 3867.000, Size: 50.000, Cost: 193350.000, Comm 96.675, 1169635.024999998\n",
      "2018-11-19T09:05:00, OPEN ORDER Buy EXECUTED, Price: 3819.000, Size: 50.000, Cost: 190950.000, Comm 95.475, 1150444.549999998\n",
      "2018-11-19T09:55:00, STOP/LIMIT ORDER EXECUTED, Price: 3870.000, Size: -150.000, Cost: 579250.000, Comm 290.250, 1209329.299999998\n",
      "2018-11-19T09:55:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS 1250.00, NET 670.13, , 1209329.299999998\n",
      "2018-11-19T22:40:00, OPEN ORDER Buy EXECUTED, Price: 3842.000, Size: 50.000, Cost: 192100.000, Comm 96.050, 1190023.249999998\n",
      "2018-11-20T10:45:00, OPEN ORDER Buy EXECUTED, Price: 3787.000, Size: 50.000, Cost: 189350.000, Comm 94.675, 1170993.5749999979\n",
      "2018-11-20T10:55:00, OPEN ORDER Buy EXECUTED, Price: 3792.000, Size: 50.000, Cost: 189600.000, Comm 94.800, 1151938.7749999978\n",
      "2018-11-20T11:15:00, OPEN ORDER Buy EXECUTED, Price: 3786.000, Size: 50.000, Cost: 189300.000, Comm 94.650, 1132914.124999998\n",
      "2018-11-20T13:30:00, OPEN ORDER Buy EXECUTED, Price: 3766.000, Size: 50.000, Cost: 188300.000, Comm 94.150, 1113989.974999998\n",
      "2018-11-23T09:00:00, OPEN ORDER Buy EXECUTED, Price: 3728.000, Size: 50.000, Cost: 186400.000, Comm 93.200, 1095256.774999998\n",
      "2018-11-23T09:10:00, OPEN ORDER Buy EXECUTED, Price: 3727.000, Size: 50.000, Cost: 186350.000, Comm 93.175, 1076528.599999998\n",
      "2018-11-23T11:15:00, CLOSE ORDER EXECUTED, Price: 3688.000, Size: -350.000, Cost: 1321400.000, Comm 645.400, 1177423.1999999986\n",
      "2018-11-23T11:15:00, OPERATION PROFIT, MARTIN_NUM 7, GROSS -30600.00, NET -31906.10, , 1177423.1999999986\n",
      "2018-11-23T11:20:00, OPEN ORDER Sell EXECUTED, Price: 3690.000, Size: -50.000, Cost: -184500.000, Comm 92.250, 1361830.9499999986\n",
      "2018-11-23T13:30:00, OPEN ORDER Sell EXECUTED, Price: 3677.000, Size: -50.000, Cost: -183850.000, Comm 91.925, 1545589.0249999985\n",
      "2018-11-23T14:30:00, STOP/LIMIT ORDER EXECUTED, Price: 3634.000, Size: 100.000, Cost: -368350.000, Comm 181.700, 1182007.3249999983\n",
      "2018-11-23T14:30:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 4950.00, NET 4584.12, , 1182007.3249999983\n",
      "2018-11-26T14:45:00, OPEN ORDER Buy EXECUTED, Price: 3520.000, Size: 50.000, Cost: 176000.000, Comm 88.000, 1164319.3249999983\n",
      "2018-11-26T21:05:00, STOP/LIMIT ORDER EXECUTED, Price: 3569.000, Size: -50.000, Cost: 176000.000, Comm 89.225, 1184280.0999999982\n",
      "2018-11-26T21:05:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2450.00, NET 2272.78, , 1184280.0999999982\n",
      "2018-11-26T21:35:00, OPEN ORDER Sell EXECUTED, Price: 3583.000, Size: -50.000, Cost: -179150.000, Comm 89.575, 1363340.5249999983\n",
      "2018-11-26T21:45:00, OPEN ORDER Sell EXECUTED, Price: 3586.000, Size: -50.000, Cost: -179300.000, Comm 89.650, 1542550.8749999984\n",
      "2018-11-26T21:55:00, OPEN ORDER Sell EXECUTED, Price: 3591.000, Size: -50.000, Cost: -179550.000, Comm 89.775, 1722011.0999999985\n",
      "2018-11-27T11:00:00, CLOSE ORDER EXECUTED, Price: 3573.000, Size: 150.000, Cost: -538000.000, Comm 267.975, 1185793.1249999984\n",
      "2018-11-27T11:00:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS 2050.00, NET 1513.02, , 1185793.1249999984\n",
      "2018-11-27T11:25:00, OPEN ORDER Buy EXECUTED, Price: 3576.000, Size: 50.000, Cost: 178800.000, Comm 89.400, 1167823.7249999985\n",
      "2018-11-27T13:35:00, OPEN ORDER Buy EXECUTED, Price: 3570.000, Size: 50.000, Cost: 178500.000, Comm 89.250, 1149884.4749999985\n",
      "2018-11-27T13:45:00, OPEN ORDER Buy EXECUTED, Price: 3569.000, Size: 50.000, Cost: 178450.000, Comm 89.225, 1131950.2499999984\n",
      "2018-11-28T10:55:00, STOP/LIMIT ORDER EXECUTED, Price: 3619.000, Size: -150.000, Cost: 535750.000, Comm 271.425, 1192353.8249999983\n",
      "2018-11-28T10:55:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS 7100.00, NET 6560.70, , 1192353.8249999983\n",
      "2018-11-28T14:00:00, OPEN ORDER Buy EXECUTED, Price: 3661.000, Size: 50.000, Cost: 183050.000, Comm 91.525, 1173957.2999999984\n",
      "2018-11-28T21:20:00, CLOSE ORDER EXECUTED, Price: 3640.000, Size: -50.000, Cost: 183050.000, Comm 91.000, 1191121.2999999984\n",
      "2018-11-28T21:20:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -1050.00, NET -1232.53, , 1191121.2999999984\n",
      "2018-11-28T21:25:00, OPEN ORDER Sell EXECUTED, Price: 3637.000, Size: -50.000, Cost: -181850.000, Comm 90.925, 1372880.3749999984\n",
      "2018-11-28T21:35:00, OPEN ORDER Sell EXECUTED, Price: 3635.000, Size: -50.000, Cost: -181750.000, Comm 90.875, 1554539.4999999984\n",
      "2018-11-28T21:45:00, OPEN ORDER Sell EXECUTED, Price: 3633.000, Size: -50.000, Cost: -181650.000, Comm 90.825, 1736098.6749999984\n",
      "2018-11-29T11:10:00, STOP/LIMIT ORDER EXECUTED, Price: 3584.000, Size: 150.000, Cost: -545250.000, Comm 268.800, 1198229.8749999984\n",
      "2018-11-29T11:10:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS 7650.00, NET 7108.57, , 1198229.8749999984\n",
      "2018-11-29T21:15:00, OPEN ORDER Buy EXECUTED, Price: 3294.000, Size: 50.000, Cost: 164700.000, Comm 82.350, 1181677.5249999983\n",
      "2018-11-30T11:10:00, OPEN ORDER Buy EXECUTED, Price: 3274.000, Size: 50.000, Cost: 163700.000, Comm 81.850, 1165225.6749999982\n",
      "2018-11-30T11:25:00, OPEN ORDER Buy EXECUTED, Price: 3273.000, Size: 50.000, Cost: 163650.000, Comm 81.825, 1148778.8499999982\n",
      "2018-11-30T22:05:00, OPEN ORDER Buy EXECUTED, Price: 3215.000, Size: 50.000, Cost: 160750.000, Comm 80.375, 1132623.4749999982\n",
      "2018-11-30T22:55:00, STOP/LIMIT ORDER EXECUTED, Price: 3264.000, Size: -200.000, Cost: 652800.000, Comm 326.400, 1197577.0749999983\n",
      "2018-11-30T22:55:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS 0.00, NET -652.80, , 1197577.0749999983\n",
      "2018-12-06T09:10:00, OPEN ORDER Sell EXECUTED, Price: 3414.000, Size: -50.000, Cost: -170700.000, Comm 85.350, 1368191.7249999982\n",
      "2018-12-06T09:20:00, OPEN ORDER Sell EXECUTED, Price: 3414.000, Size: -50.000, Cost: -170700.000, Comm 85.350, 1538806.3749999981\n",
      "2018-12-06T21:00:00, STOP/LIMIT ORDER EXECUTED, Price: 3360.000, Size: 100.000, Cost: -341400.000, Comm 168.000, 1202638.3749999981\n",
      "2018-12-06T21:00:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 5400.00, NET 5061.30, , 1202638.3749999981\n",
      "2018-12-07T10:05:00, OPEN ORDER Buy EXECUTED, Price: 3361.000, Size: 50.000, Cost: 168050.000, Comm 84.025, 1185749.3499999982\n",
      "2018-12-07T10:50:00, OPEN ORDER Buy EXECUTED, Price: 3346.000, Size: 50.000, Cost: 167300.000, Comm 83.650, 1168935.6999999983\n",
      "2018-12-07T11:05:00, OPEN ORDER Buy EXECUTED, Price: 3350.000, Size: 50.000, Cost: 167500.000, Comm 83.750, 1152101.9499999983\n",
      "2018-12-07T13:50:00, STOP/LIMIT ORDER EXECUTED, Price: 3400.000, Size: -150.000, Cost: 502850.000, Comm 255.000, 1209281.9499999983\n",
      "2018-12-07T13:50:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS 7150.00, NET 6643.57, , 1209281.9499999983\n",
      "2018-12-10T09:10:00, OPEN ORDER Buy EXECUTED, Price: 3348.000, Size: 50.000, Cost: 167400.000, Comm 83.700, 1192458.2499999984\n",
      "2018-12-11T09:20:00, OPEN ORDER Buy EXECUTED, Price: 3292.000, Size: 50.000, Cost: 164600.000, Comm 82.300, 1175915.9499999983\n",
      "2018-12-11T09:30:00, OPEN ORDER Buy EXECUTED, Price: 3293.000, Size: 50.000, Cost: 164650.000, Comm 82.325, 1159368.6249999984\n",
      "2018-12-11T09:55:00, OPEN ORDER Buy EXECUTED, Price: 3297.000, Size: 50.000, Cost: 164850.000, Comm 82.425, 1142801.1999999983\n",
      "2018-12-11T10:45:00, CLOSE ORDER EXECUTED, Price: 3317.000, Size: -200.000, Cost: 661500.000, Comm 331.700, 1210519.4999999984\n",
      "2018-12-11T10:45:00, OPERATION PROFIT, MARTIN_NUM 4, GROSS 1900.00, NET 1237.55, , 1210519.4999999984\n",
      "2018-12-11T10:50:00, OPEN ORDER Sell EXECUTED, Price: 3314.000, Size: -50.000, Cost: -165700.000, Comm 82.850, 1376136.6499999983\n",
      "2018-12-11T11:00:00, OPEN ORDER Sell EXECUTED, Price: 3314.000, Size: -50.000, Cost: -165700.000, Comm 82.850, 1541753.7999999982\n",
      "2018-12-11T22:30:00, CLOSE ORDER EXECUTED, Price: 3353.000, Size: 100.000, Cost: -331400.000, Comm 167.650, 1206286.1499999983\n",
      "2018-12-11T22:30:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS -3900.00, NET -4233.35, , 1206286.1499999983\n",
      "2018-12-11T22:35:00, OPEN ORDER Buy EXECUTED, Price: 3352.000, Size: 50.000, Cost: 167600.000, Comm 83.800, 1189442.3499999982\n",
      "2018-12-13T10:45:00, STOP/LIMIT ORDER EXECUTED, Price: 3402.000, Size: -50.000, Cost: 167600.000, Comm 85.050, 1208617.2999999982\n",
      "2018-12-13T10:45:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2500.00, NET 2331.15, , 1208617.2999999982\n",
      "2018-12-14T10:45:00, OPEN ORDER Buy EXECUTED, Price: 3426.000, Size: 50.000, Cost: 171300.000, Comm 85.650, 1191401.6499999983\n",
      "2018-12-14T21:00:00, OPEN ORDER Buy EXECUTED, Price: 3448.000, Size: 50.000, Cost: 172400.000, Comm 86.200, 1174075.4499999983\n",
      "2018-12-17T13:55:00, OPEN ORDER Buy EXECUTED, Price: 3438.000, Size: 50.000, Cost: 171900.000, Comm 85.950, 1156799.4999999984\n",
      "2018-12-17T14:05:00, OPEN ORDER Buy EXECUTED, Price: 3435.000, Size: 50.000, Cost: 171750.000, Comm 85.875, 1139538.6249999984\n",
      "2018-12-17T21:05:00, OPEN ORDER Buy EXECUTED, Price: 3428.000, Size: 50.000, Cost: 171400.000, Comm 85.700, 1122312.9249999984\n",
      "2018-12-17T21:15:00, OPEN ORDER Buy EXECUTED, Price: 3427.000, Size: 50.000, Cost: 171350.000, Comm 85.675, 1105092.2499999984\n",
      "2018-12-17T21:40:00, OPEN ORDER Buy EXECUTED, Price: 3436.000, Size: 50.000, Cost: 171800.000, Comm 85.900, 1087826.3499999985\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-12-18T09:30:00, OPEN ORDER Buy EXECUTED, Price: 3415.000, Size: 50.000, Cost: 170750.000, Comm 85.375, 1070665.9749999985\n",
      "2018-12-18T22:30:00, CLOSE ORDER EXECUTED, Price: 3425.000, Size: -400.000, Cost: 1372650.000, Comm 685.000, 1204595.9749999985\n",
      "2018-12-18T22:30:00, OPERATION PROFIT, MARTIN_NUM 8, GROSS -2650.00, NET -4021.32, , 1204595.9749999985\n",
      "2018-12-19T10:30:00, OPEN ORDER Sell EXECUTED, Price: 3427.000, Size: -50.000, Cost: -171350.000, Comm 85.675, 1375860.2999999984\n",
      "2018-12-19T10:40:00, OPEN ORDER Sell EXECUTED, Price: 3423.000, Size: -50.000, Cost: -171150.000, Comm 85.575, 1546924.7249999985\n",
      "2018-12-19T10:55:00, CLOSE ORDER EXECUTED, Price: 3416.000, Size: 100.000, Cost: -342500.000, Comm 170.800, 1205153.9249999984\n",
      "2018-12-19T10:55:00, OPERATION PROFIT, MARTIN_NUM 2, GROSS 900.00, NET 557.95, , 1205153.9249999984\n",
      "2018-12-19T11:00:00, OPEN ORDER Buy EXECUTED, Price: 3414.000, Size: 50.000, Cost: 170700.000, Comm 85.350, 1187998.5749999983\n",
      "2018-12-19T11:10:00, OPEN ORDER Buy EXECUTED, Price: 3427.000, Size: 50.000, Cost: 171350.000, Comm 85.675, 1170777.8999999983\n",
      "2018-12-19T11:20:00, OPEN ORDER Buy EXECUTED, Price: 3427.000, Size: 50.000, Cost: 171350.000, Comm 85.675, 1153557.2249999982\n",
      "2018-12-20T14:20:00, STOP/LIMIT ORDER EXECUTED, Price: 3477.000, Size: -150.000, Cost: 513400.000, Comm 260.775, 1212786.4499999983\n",
      "2018-12-20T14:20:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS 8150.00, NET 7632.53, , 1212786.4499999983\n",
      "2018-12-21T09:55:00, OPEN ORDER Buy EXECUTED, Price: 3504.000, Size: 50.000, Cost: 175200.000, Comm 87.600, 1195178.8499999982\n",
      "2018-12-21T22:35:00, CLOSE ORDER EXECUTED, Price: 3466.000, Size: -50.000, Cost: 175200.000, Comm 86.650, 1210712.1999999983\n",
      "2018-12-21T22:35:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS -1900.00, NET -2074.25, , 1210712.1999999983\n",
      "2018-12-24T21:10:00, OPEN ORDER Buy EXECUTED, Price: 3436.000, Size: 50.000, Cost: 171800.000, Comm 85.900, 1193446.2999999984\n",
      "2018-12-25T09:10:00, OPEN ORDER Buy EXECUTED, Price: 3416.000, Size: 50.000, Cost: 170800.000, Comm 85.400, 1176280.8999999985\n",
      "2018-12-25T09:20:00, OPEN ORDER Buy EXECUTED, Price: 3406.000, Size: 50.000, Cost: 170300.000, Comm 85.150, 1159165.7499999986\n",
      "2018-12-25T09:45:00, OPEN ORDER Buy EXECUTED, Price: 3394.000, Size: 50.000, Cost: 169700.000, Comm 84.850, 1142110.8999999985\n",
      "2018-12-26T09:35:00, OPEN ORDER Buy EXECUTED, Price: 3418.000, Size: 50.000, Cost: 170900.000, Comm 85.450, 1124935.4499999986\n",
      "2018-12-27T09:00:00, STOP/LIMIT ORDER EXECUTED, Price: 3468.000, Size: -250.000, Cost: 853500.000, Comm 433.500, 1223351.9499999986\n",
      "2018-12-27T09:00:00, OPERATION PROFIT, MARTIN_NUM 5, GROSS 13500.00, NET 12639.75, , 1223351.9499999986\n",
      "2018-12-27T10:55:00, OPEN ORDER Buy EXECUTED, Price: 3429.000, Size: 50.000, Cost: 171450.000, Comm 85.725, 1206121.2249999985\n",
      "2018-12-27T11:05:00, OPEN ORDER Buy EXECUTED, Price: 3417.000, Size: 50.000, Cost: 170850.000, Comm 85.425, 1188950.7999999984\n",
      "2018-12-27T14:25:00, OPEN ORDER Buy EXECUTED, Price: 3411.000, Size: 50.000, Cost: 170550.000, Comm 85.275, 1171810.5249999985\n",
      "2018-12-27T14:40:00, OPEN ORDER Buy EXECUTED, Price: 3410.000, Size: 50.000, Cost: 170500.000, Comm 85.250, 1154675.2749999985\n",
      "2018-12-28T10:05:00, OPEN ORDER Buy EXECUTED, Price: 3414.000, Size: 50.000, Cost: 170700.000, Comm 85.350, 1137519.9249999984\n",
      "2018-12-28T11:15:00, CLOSE ORDER EXECUTED, Price: 3402.000, Size: -250.000, Cost: 854050.000, Comm 425.250, 1218949.6749999984\n",
      "2018-12-28T11:15:00, OPERATION PROFIT, MARTIN_NUM 5, GROSS -3550.00, NET -4402.27, , 1218949.6749999984\n",
      "2019-01-02T09:50:00, OPEN ORDER Sell EXECUTED, Price: 3393.000, Size: -50.000, Cost: -169650.000, Comm 84.825, 1388514.8499999985\n",
      "2019-01-02T10:00:00, OPEN ORDER Sell EXECUTED, Price: 3393.000, Size: -50.000, Cost: -169650.000, Comm 84.825, 1558080.0249999985\n",
      "2019-01-02T10:10:00, OPEN ORDER Sell EXECUTED, Price: 3389.000, Size: -50.000, Cost: -169450.000, Comm 84.725, 1727445.2999999984\n",
      "2019-01-02T14:50:00, OPEN ORDER Sell EXECUTED, Price: 3382.000, Size: -50.000, Cost: -169100.000, Comm 84.550, 1896460.7499999984\n",
      "2019-01-03T21:15:00, OPEN ORDER Sell EXECUTED, Price: 3458.000, Size: -50.000, Cost: -172900.000, Comm 86.450, 2069274.2999999984\n",
      "2019-01-03T21:25:00, OPEN ORDER Sell EXECUTED, Price: 3454.000, Size: -50.000, Cost: -172700.000, Comm 86.350, 2241887.9499999983\n",
      "2019-01-03T22:10:00, CLOSE ORDER EXECUTED, Price: 3455.000, Size: 300.000, Cost: -1023450.000, Comm 518.250, 1204869.6999999983\n",
      "2019-01-03T22:10:00, OPERATION PROFIT, MARTIN_NUM 6, GROSS -13050.00, NET -14079.98, , 1204869.6999999983\n",
      "2019-01-03T22:20:00, OPEN ORDER Buy EXECUTED, Price: 3455.000, Size: 50.000, Cost: 172750.000, Comm 86.375, 1187508.3249999983\n",
      "2019-01-07T09:10:00, STOP/LIMIT ORDER EXECUTED, Price: 3505.000, Size: -50.000, Cost: 172750.000, Comm 87.625, 1207195.6999999983\n",
      "2019-01-07T09:10:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2500.00, NET 2326.00, , 1207195.6999999983\n",
      "2019-01-07T14:40:00, OPEN ORDER Buy EXECUTED, Price: 3515.000, Size: 50.000, Cost: 175750.000, Comm 87.875, 1189532.8249999983\n",
      "2019-01-07T21:20:00, OPEN ORDER Buy EXECUTED, Price: 3515.000, Size: 50.000, Cost: 175750.000, Comm 87.875, 1171869.9499999983\n",
      "2019-01-07T21:35:00, OPEN ORDER Buy EXECUTED, Price: 3509.000, Size: 50.000, Cost: 175450.000, Comm 87.725, 1154237.2249999982\n",
      "2019-01-09T09:25:00, OPEN ORDER Buy EXECUTED, Price: 3528.000, Size: 50.000, Cost: 176400.000, Comm 88.200, 1136509.0249999983\n",
      "2019-01-09T21:05:00, OPEN ORDER Buy EXECUTED, Price: 3512.000, Size: 50.000, Cost: 175600.000, Comm 87.800, 1118861.2249999982\n",
      "2019-01-11T22:20:00, OPEN ORDER Buy EXECUTED, Price: 3540.000, Size: 50.000, Cost: 177000.000, Comm 88.500, 1101072.7249999982\n",
      "2019-01-14T21:55:00, OPEN ORDER Buy EXECUTED, Price: 3553.000, Size: 50.000, Cost: 177650.000, Comm 88.825, 1083218.8999999983\n",
      "2019-01-16T09:35:00, OPEN ORDER Buy EXECUTED, Price: 3521.000, Size: 50.000, Cost: 176050.000, Comm 88.025, 1065525.8749999984\n",
      "2019-01-16T11:10:00, CLOSE ORDER EXECUTED, Price: 3528.000, Size: -400.000, Cost: 1409650.000, Comm 705.600, 1207335.2749999983\n",
      "2019-01-16T11:10:00, OPERATION PROFIT, MARTIN_NUM 8, GROSS 1550.00, NET 139.57, , 1207335.2749999983\n",
      "2019-01-16T11:15:00, OPEN ORDER Sell EXECUTED, Price: 3535.000, Size: -50.000, Cost: -176750.000, Comm 88.375, 1383996.8999999983\n",
      "2019-01-16T11:25:00, OPEN ORDER Sell EXECUTED, Price: 3543.000, Size: -50.000, Cost: -177150.000, Comm 88.575, 1561058.3249999983\n",
      "2019-01-16T13:35:00, OPEN ORDER Sell EXECUTED, Price: 3535.000, Size: -50.000, Cost: -176750.000, Comm 88.375, 1737719.9499999983\n",
      "2019-01-16T14:35:00, CLOSE ORDER EXECUTED, Price: 3536.000, Size: 150.000, Cost: -530650.000, Comm 265.200, 1207054.7499999984\n",
      "2019-01-16T14:35:00, OPERATION PROFIT, MARTIN_NUM 3, GROSS 250.00, NET -280.53, , 1207054.7499999984\n",
      "2019-01-16T21:20:00, OPEN ORDER Buy EXECUTED, Price: 3543.000, Size: 50.000, Cost: 177150.000, Comm 88.575, 1189251.1749999984\n",
      "2019-01-17T22:55:00, STOP/LIMIT ORDER EXECUTED, Price: 3594.000, Size: -50.000, Cost: 177150.000, Comm 89.850, 1209426.3249999983\n",
      "2019-01-17T22:55:00, OPERATION PROFIT, MARTIN_NUM 1, GROSS 2550.00, NET 2371.57, , 1209426.3249999983\n",
      "Final Portfolio Value: 1209426.32\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\miniconda\\lib\\site-packages\\pyfolio\\tears.py:200: UserWarning: The latest version of pyfolio requires users to supply benchmark returns. Your current tearsheets will not include plots and analyses that require a benchmark. In the future, please pass benchmark_rets, or pass None to silence this warning.\n",
      "  warnings.warn(BENCHMARK_RETS_WARNING)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\"><th>Start date</th><td colspan=2>2018-04-02</td></tr>\n",
       "    <tr style=\"text-align: right;\"><th>End date</th><td colspan=2>2019-01-18</td></tr>\n",
       "    <tr style=\"text-align: right;\"><th>Total months</th><td colspan=2>9</td></tr>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Backtest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Annual return</th>\n",
       "      <td>27.5%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cumulative returns</th>\n",
       "      <td>20.9%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Annual volatility</th>\n",
       "      <td>9.9%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sharpe ratio</th>\n",
       "      <td>2.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Calmar ratio</th>\n",
       "      <td>7.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stability</th>\n",
       "      <td>0.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max drawdown</th>\n",
       "      <td>-3.7%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Omega ratio</th>\n",
       "      <td>1.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sortino ratio</th>\n",
       "      <td>4.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skew</th>\n",
       "      <td>-0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kurtosis</th>\n",
       "      <td>5.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tail ratio</th>\n",
       "      <td>1.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Daily value at risk</th>\n",
       "      <td>-1.2%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gross leverage</th>\n",
       "      <td>0.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Daily turnover</th>\n",
       "      <td>inf%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\miniconda\\lib\\site-packages\\numpy\\core\\fromnumeric.py:52: FutureWarning: 'argmin' is deprecated. Use 'idxmin' instead. The behavior of 'argmin' will be corrected to return the positional minimum in the future. Use 'series.values.argmin' to get the position of the minimum now.\n",
      "  return getattr(obj, method)(*args, **kwds)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Worst drawdown periods</th>\n",
       "      <th>Net drawdown in %</th>\n",
       "      <th>Peak date</th>\n",
       "      <th>Valley date</th>\n",
       "      <th>Recovery date</th>\n",
       "      <th>Duration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3.73</td>\n",
       "      <td>2018-09-07</td>\n",
       "      <td>2018-09-27</td>\n",
       "      <td>2018-11-14</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.10</td>\n",
       "      <td>2018-11-19</td>\n",
       "      <td>2018-11-20</td>\n",
       "      <td>2018-12-07</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.74</td>\n",
       "      <td>2018-04-02</td>\n",
       "      <td>2018-04-16</td>\n",
       "      <td>2018-05-07</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.46</td>\n",
       "      <td>2018-06-01</td>\n",
       "      <td>2018-06-04</td>\n",
       "      <td>2018-06-05</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.37</td>\n",
       "      <td>2018-06-11</td>\n",
       "      <td>2018-06-19</td>\n",
       "      <td>2018-07-02</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x25dbe4eb978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Stress Events</th>\n",
       "      <th>mean</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>New Normal</th>\n",
       "      <td>0.10%</td>\n",
       "      <td>-3.10%</td>\n",
       "      <td>2.77%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "AttributeError",
     "evalue": "'NoneType' object has no attribute 'copy'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-2-89e59cc1e293>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m     70\u001b[0m     \u001b[1;31m# LSTM.updatemodel(paras.dbname, paras.symbol, paras.qt_type)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     71\u001b[0m     \u001b[1;31m# datautil.getdatas(paras.dbname, paras.symbol, paras.qt_type)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 72\u001b[1;33m     \u001b[0mbct\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msymbol\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mqt_type\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-2-89e59cc1e293>\u001b[0m in \u001b[0;36mbct\u001b[1;34m(symbol, period)\u001b[0m\n\u001b[0;32m     61\u001b[0m         \u001b[0mpositions\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mpositions\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     62\u001b[0m         \u001b[0mtransactions\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtransactions\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 63\u001b[1;33m         round_trips=True)\n\u001b[0m\u001b[0;32m     64\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     65\u001b[0m     \u001b[0mcerebro\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\miniconda\\lib\\site-packages\\pyfolio\\tears.py\u001b[0m in \u001b[0;36mcreate_full_tear_sheet\u001b[1;34m(returns, positions, transactions, market_data, benchmark_rets, slippage, live_start_date, sector_mappings, bayesian, round_trips, estimate_intraday, hide_positions, cone_std, bootstrap, unadjusted_returns, style_factor_panel, sectors, caps, shares_held, volumes, percentile, turnover_denom, set_context, factor_returns, factor_loadings, pos_in_dollars, header_rows, factor_partitions)\u001b[0m\n\u001b[0;32m    224\u001b[0m     create_interesting_times_tear_sheet(returns,\n\u001b[0;32m    225\u001b[0m                                         \u001b[0mbenchmark_rets\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mbenchmark_rets\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 226\u001b[1;33m                                         set_context=set_context)\n\u001b[0m\u001b[0;32m    227\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    228\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mpositions\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\miniconda\\lib\\site-packages\\pyfolio\\plotting.py\u001b[0m in \u001b[0;36mcall_w_context\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     50\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mset_context\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     51\u001b[0m             \u001b[1;32mwith\u001b[0m \u001b[0mplotting_context\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxes_style\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 52\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     53\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     54\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\miniconda\\lib\\site-packages\\pyfolio\\tears.py\u001b[0m in \u001b[0;36mcreate_interesting_times_tear_sheet\u001b[1;34m(returns, benchmark_rets, legend_loc, return_fig)\u001b[0m\n\u001b[0;32m    985\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    986\u001b[0m     bmark_interesting = timeseries.extract_interesting_date_ranges(\n\u001b[1;32m--> 987\u001b[1;33m         benchmark_rets)\n\u001b[0m\u001b[0;32m    988\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    989\u001b[0m     \u001b[0mnum_plots\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrets_interesting\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\miniconda\\lib\\site-packages\\pyfolio\\timeseries.py\u001b[0m in \u001b[0;36mextract_interesting_date_ranges\u001b[1;34m(returns)\u001b[0m\n\u001b[0;32m   1220\u001b[0m     \"\"\"\n\u001b[0;32m   1221\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1222\u001b[1;33m     \u001b[0mreturns_dupe\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mreturns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1223\u001b[0m     \u001b[0mreturns_dupe\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mreturns_dupe\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmap\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTimestamp\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1224\u001b[0m     \u001b[0mranges\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mOrderedDict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'copy'"
     ]
    }
   ],
   "source": [
    "import backtrader as bt\n",
    "import pandas\n",
    "import datetime\n",
    "import paras\n",
    "import autocode_torch\n",
    "import LSTM\n",
    "import datautil\n",
    "from bt_strategy import MartingaleStrategy\n",
    "from commission import ForexBroker, ForexSpreadCommissionScheme\n",
    "\n",
    "\n",
    "def bct(symbol=\"FXUSDJPY\", period=5):\n",
    "    jpy_pair = \"JPY\" in symbol\n",
    "\n",
    "    cerebro = bt.Cerebro(cheat_on_open = False)\n",
    "    # cerebro.optstrategy(\n",
    "    #     MartingaleStrategy,\n",
    "    #     min_gap=range(40,300,3),\n",
    "    #     stoploss=range(300,1500,50),\n",
    "    #     targetprofit=range(200,1500,30)\n",
    "    # )\n",
    "\n",
    "    broker = ForexBroker()\n",
    "    cerebro.setbroker(broker)\n",
    "    cerebro.broker.setcash(1000000.0)\n",
    "    # comminfo = ForexSpreadCommissionScheme(spread=1, jpy_pair=jpy_pair, leverage=10.0, margin=1, mult=1.0,\n",
    "    #                                        stocklike=True)\n",
    "    # cerebro.broker.addcommissioninfo(comminfo)\n",
    "    cerebro.broker.setcommission(commission=0.0005,commtype=bt.CommInfoBase.COMM_PERC, stocklike=True,leverage=10.0)\n",
    "\n",
    "    cerebro.addstrategy(MartingaleStrategy)\n",
    "\n",
    "    datapath = \"data/{}_{}.csv\".format(symbol, period)\n",
    "    dataframe = pandas.read_csv(datapath, parse_dates=True, index_col=0)\n",
    "    print(dataframe.head(2))\n",
    "    print(dataframe.tail(2))\n",
    "    data = bt.feeds.PandasData(dataname=dataframe, fromdate=datetime.datetime(2018, 4, 1),\n",
    "                               todate=datetime.datetime(2019, 1, 21))\n",
    "    cerebro.adddata(data, name=\"data0\")\n",
    "\n",
    "    # datapath1 = \"data/{}_{}.csv\".format(\"FXXAUUSD\", period)\n",
    "    # dataframe1 = pandas.read_csv(datapath1, parse_dates=True, index_col=0)\n",
    "    # data1 = bt.feeds.PandasData(dataname=dataframe1, fromdate=datetime.datetime(2015, 5, 1),\n",
    "    #                            todate=datetime.datetime(2015, 6, 1), )\n",
    "    # cerebro.adddata(data1, name=\"data1\")\n",
    "\n",
    "    cerebro.addanalyzer(bt.analyzers.PyFolio, _name='pyfolio')\n",
    "\n",
    "    print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())\n",
    "\n",
    "    results = cerebro.run()\n",
    "\n",
    "    print('Final Portfolio Value: %.2f' % cerebro.broker.getvalue())\n",
    "\n",
    "    strat = results[0]\n",
    "    pyfoliozer = strat.analyzers.getbyname('pyfolio')\n",
    "    returns, positions, transactions, gross_lev = pyfoliozer.get_pf_items()\n",
    "    import pyfolio as pf\n",
    "    pf.create_full_tear_sheet(\n",
    "        returns,\n",
    "        positions=positions,\n",
    "        transactions=transactions,\n",
    "        round_trips=True)\n",
    "\n",
    "    cerebro.plot()\n",
    "\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    # autocode_torch.autocode(paras.dbname, paras.symbol, paras.qt_type)\n",
    "    # LSTM.updatemodel(paras.dbname, paras.symbol, paras.qt_type)\n",
    "    # datautil.getdatas(paras.dbname, paras.symbol, paras.qt_type)\n",
    "    bct(paras.symbol, paras.qt_type)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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